---
_id: '44323'
abstract:
- lang: eng
text: "Reading between the lines has so far been reserved for humans. The present
dissertation addresses this research gap using machine learning methods.\r\nImplicit
expressions are not comprehensible by computers and cannot be localized in the
text. However, many texts arise on interpersonal topics that, unlike commercial
evaluation texts, often imply information only by means of longer phrases. Examples
are the kindness and the attentiveness of a doctor, which are only paraphrased
(“he didn’t even look me in the eye”). The analysis of such data, especially the
identification and localization of implicit statements, is a research gap (1).
This work uses so-called Aspect-based Sentiment Analysis as a method for this
purpose. It remains open how the aspect categories to be extracted can be discovered
and thematically delineated based on the data (2). Furthermore, it is not yet
explored how a collection of tools should look like, with which implicit phrases
can be identified and thus made explicit\r\n(3). Last, it is an open question
how to correlate the identified phrases from the text data with other data, including
the investigation of the relationship between quantitative scores (e.g., school
grades) and the thematically related text (4). Based on these research gaps, the
research question is posed as follows: Using text mining methods, how can implicit
rating content be properly interpreted and thus made explicit before it is automatically
categorized and quantified?\r\nThe uniqueness of this dissertation is based on
the automated recognition of implicit linguistic statements alongside explicit
statements. These are identified in unstructured text data so that features expressed
only in the text can later be compared across data sources, even though they were
not included in rating categories such as stars or school grades. German-language
physician ratings from websites in three countries serve as the sample domain.
The solution approach consists of data creation, a pipeline for text processing
and analyses based on this. In the data creation, aspect classes are identified
and delineated across platforms and marked in text data. This results in six datasets
with over 70,000 annotated sentences and detailed guidelines. The models that
were created based on the training data extract and categorize the aspects. In
addition, the sentiment polarity and the evaluation weight, i. e., the importance
of each phrase, are determined. The models, which are combined in a pipeline,
are used in a prototype in the form of a web application. The analyses built on
the pipeline quantify the rating contents by linking the obtained information
with further data, thus allowing new insights.\r\nAs a result, a toolbox is provided
to identify quantifiable rating content and categories using text mining for a
sample domain. This is used to evaluate the approach, which in principle can also
be adapted to any other domain."
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
citation:
ama: Kersting J. Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien
mittels Text Mining. Universität der Bundeswehr München ; 2023.
apa: Kersting, J. (2023). Identifizierung quantifizierbarer Bewertungsinhalte
und -kategorien mittels Text Mining. Universität der Bundeswehr München .
bibtex: '@book{Kersting_2023, place={Neubiberg}, title={Identifizierung quantifizierbarer
Bewertungsinhalte und -kategorien mittels Text Mining}, publisher={Universität
der Bundeswehr München }, author={Kersting, Joschka}, year={2023} }'
chicago: 'Kersting, Joschka. Identifizierung quantifizierbarer Bewertungsinhalte
und -kategorien mittels Text Mining. Neubiberg: Universität der Bundeswehr
München , 2023.'
ieee: 'J. Kersting, Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien
mittels Text Mining. Neubiberg: Universität der Bundeswehr München , 2023.'
mla: Kersting, Joschka. Identifizierung quantifizierbarer Bewertungsinhalte und
-kategorien mittels Text Mining. Universität der Bundeswehr München , 2023.
short: J. Kersting, Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien
mittels Text Mining, Universität der Bundeswehr München , Neubiberg, 2023.
date_created: 2023-05-02T12:54:00Z
date_updated: 2023-07-03T12:29:50Z
department:
- _id: '579'
- _id: '7'
language:
- iso: ger
page: '208'
place: Neubiberg
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication_status: published
publisher: 'Universität der Bundeswehr München '
related_material:
link:
- relation: supplementary_material
url: https://athene-forschung.unibw.de/145003
status: public
supervisor:
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
title: Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels
Text Mining
type: dissertation
user_id: '58701'
year: '2023'
...
---
_id: '45882'
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
citation:
ama: 'Bäumer FS, Chen W-F, Geierhos M, Kersting J, Wachsmuth H. Dialogue-based Requirement
Compensation and Style-adjusted Data-to-text Generation. In: Haake C-J, Meyer
auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing
-- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe
des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:65-84.
doi:10.5281/zenodo.8068456'
apa: Bäumer, F. S., Chen, W.-F., Geierhos, M., Kersting, J., & Wachsmuth, H.
(2023). Dialogue-based Requirement Compensation and Style-adjusted Data-to-text
Generation. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth,
& H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services
in dynamic markets (Vol. 412, pp. 65–84). Heinz Nixdorf Institut, Universität
Paderborn. https://doi.org/10.5281/zenodo.8068456
bibtex: '@inbook{Bäumer_Chen_Geierhos_Kersting_Wachsmuth_2023, place={Paderborn},
series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Dialogue-based
Requirement Compensation and Style-adjusted Data-to-text Generation}, volume={412},
DOI={10.5281/zenodo.8068456},
booktitle={On-The-Fly Computing -- Individualized IT-services in dynamic markets},
publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Bäumer, Frederik
Simon and Chen, Wei-Fan and Geierhos, Michaela and Kersting, Joschka and Wachsmuth,
Henning}, editor={Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner,
Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023}, pages={65–84},
collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }'
chicago: 'Bäumer, Frederik Simon, Wei-Fan Chen, Michaela Geierhos, Joschka Kersting,
and Henning Wachsmuth. “Dialogue-Based Requirement Compensation and Style-Adjusted
Data-to-Text Generation.” In On-The-Fly Computing -- Individualized IT-Services
in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der
Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:65–84. Verlagsschriftenreihe
Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn,
2023. https://doi.org/10.5281/zenodo.8068456.'
ieee: 'F. S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, and H. Wachsmuth, “Dialogue-based
Requirement Compensation and Style-adjusted Data-to-text Generation,” in On-The-Fly
Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J.
Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds.
Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84.'
mla: Bäumer, Frederik Simon, et al. “Dialogue-Based Requirement Compensation and
Style-Adjusted Data-to-Text Generation.” On-The-Fly Computing -- Individualized
IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol.
412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84, doi:10.5281/zenodo.8068456.
short: 'F.S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, H. Wachsmuth, in: C.-J.
Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.),
On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf
Institut, Universität Paderborn, Paderborn, 2023, pp. 65–84.'
date_created: 2023-07-07T07:29:13Z
date_updated: 2023-07-07T11:20:52Z
ddc:
- '004'
department:
- _id: '7'
- _id: '369'
doi: 10.5281/zenodo.8068456
editor:
- first_name: Claus-Jochen
full_name: Haake, Claus-Jochen
last_name: Haake
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
last_name: Meyer auf der Heide
- first_name: Marco
full_name: Platzner, Marco
last_name: Platzner
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
- first_name: Heike
full_name: Wehrheim, Heike
last_name: Wehrheim
file:
- access_level: open_access
content_type: application/pdf
creator: florida
date_created: 2023-07-07T07:28:58Z
date_updated: 2023-07-07T11:20:52Z
file_id: '45883'
file_name: B1-Chapter-SFB-Buch-Final.pdf
file_size: 1342718
relation: main_file
file_date_updated: 2023-07-07T11:20:52Z
has_accepted_license: '1'
intvolume: ' 412'
language:
- iso: eng
oa: '1'
page: 65-84
place: Paderborn
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
publication: On-The-Fly Computing -- Individualized IT-services in dynamic markets
publisher: Heinz Nixdorf Institut, Universität Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
title: Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation
type: book_chapter
user_id: '477'
volume: 412
year: '2023'
...
---
_id: '46205'
abstract:
- lang: eng
text: We present a concept for quantifying evaluative phrases to later compare rating
texts numerically instead of just relying on stars or grades. We achievethis by
combining deep learning models in an aspect-based sentiment analysis pipeline
along with sentiment weighting, polarity, and correlation analyses that combine
deep learning results with metadata. The results provide new insights for the
medical field. Our application domain, physician reviews, shows that there are
millions of review texts on the Internet that cannot yet be comprehensively analyzed
because previous studies have focused on explicit aspects from other domains (e.g.,
products). We identify, extract, and classify implicit and explicit aspect phrases
equally from German-language review texts. To do so, we annotated aspect phrases
representing reviews on numerous aspects of a physician, medical practice, or
practice staff. We apply the best performing transformer model, XLM-RoBERTa, to
a large physician review dataset and correlate the results with existing metadata.
As a result, we can show different correlations between the sentiment polarity
of certain aspect classes (e.g., friendliness, practice equipment) and physicians’
professions (e.g., surgeon, ophthalmologist). As a result, we have individual
numerical scores that contain a variety of information based on deep learning
algorithms that extract textual (evaluative) information and metadata from the
Web.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Geierhos M. Towards Comparable Ratings: Quantifying Evaluative
Phrases in Physician Reviews. In: Cuzzocrea A, Gusikhin O, Hammoudi S, Quix C,
eds. Data Management Technologies and Applications. Vol 1860. Communications
in Computer and Information Science. Springer Nature Switzerland; 2023:45-65.
doi:10.1007/978-3-031-37890-4_3'
apa: 'Kersting, J., & Geierhos, M. (2023). Towards Comparable Ratings: Quantifying
Evaluative Phrases in Physician Reviews. In A. Cuzzocrea, O. Gusikhin, S. Hammoudi,
& C. Quix (Eds.), Data Management Technologies and Applications (Vol.
1860, pp. 45–65). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-37890-4_3'
bibtex: '@inbook{Kersting_Geierhos_2023, place={Cham}, series={Communications in
Computer and Information Science}, title={Towards Comparable Ratings: Quantifying
Evaluative Phrases in Physician Reviews}, volume={1860}, DOI={10.1007/978-3-031-37890-4_3},
booktitle={Data Management Technologies and Applications}, publisher={Springer
Nature Switzerland}, author={Kersting, Joschka and Geierhos, Michaela}, editor={Cuzzocrea,
Alfredo and Gusikhin, Oleg and Hammoudi, Slimane and Quix, Christoph}, year={2023},
pages={45–65}, collection={Communications in Computer and Information Science}
}'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “Towards Comparable Ratings:
Quantifying Evaluative Phrases in Physician Reviews.” In Data Management Technologies
and Applications, edited by Alfredo Cuzzocrea, Oleg Gusikhin, Slimane Hammoudi,
and Christoph Quix, 1860:45–65. Communications in Computer and Information Science.
Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-37890-4_3.'
ieee: 'J. Kersting and M. Geierhos, “Towards Comparable Ratings: Quantifying Evaluative
Phrases in Physician Reviews,” in Data Management Technologies and Applications,
vol. 1860, A. Cuzzocrea, O. Gusikhin, S. Hammoudi, and C. Quix, Eds. Cham: Springer
Nature Switzerland, 2023, pp. 45–65.'
mla: 'Kersting, Joschka, and Michaela Geierhos. “Towards Comparable Ratings: Quantifying
Evaluative Phrases in Physician Reviews.” Data Management Technologies and
Applications, edited by Alfredo Cuzzocrea et al., vol. 1860, Springer Nature
Switzerland, 2023, pp. 45–65, doi:10.1007/978-3-031-37890-4_3.'
short: 'J. Kersting, M. Geierhos, in: A. Cuzzocrea, O. Gusikhin, S. Hammoudi, C.
Quix (Eds.), Data Management Technologies and Applications, Springer Nature Switzerland,
Cham, 2023, pp. 45–65.'
date_created: 2023-07-28T15:03:14Z
date_updated: 2023-07-28T15:11:10Z
ddc:
- '004'
department:
- _id: '579'
doi: 10.1007/978-3-031-37890-4_3
editor:
- first_name: Alfredo
full_name: Cuzzocrea, Alfredo
last_name: Cuzzocrea
- first_name: Oleg
full_name: Gusikhin, Oleg
last_name: Gusikhin
- first_name: Slimane
full_name: Hammoudi, Slimane
last_name: Hammoudi
- first_name: Christoph
full_name: Quix, Christoph
last_name: Quix
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2023-07-28T15:10:48Z
date_updated: 2023-07-28T15:10:48Z
file_id: '46207'
file_name: Kersting and Geierhos (2023), Kersting2023b.pdf
file_size: 746336
relation: main_file
success: 1
file_date_updated: 2023-07-28T15:10:48Z
has_accepted_license: '1'
intvolume: ' 1860'
language:
- iso: eng
page: 45-65
place: Cham
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
publication: Data Management Technologies and Applications
publication_identifier:
isbn:
- '9783031378898'
- '9783031378904'
issn:
- 1865-0929
- 1865-0937
publication_status: published
publisher: Springer Nature Switzerland
series_title: Communications in Computer and Information Science
status: public
title: 'Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews'
type: book_chapter
user_id: '58701'
volume: 1860
year: '2023'
...
---
_id: '45863'
abstract:
- lang: eng
text: "In the proposal for our CRC in 2011, we formulated a vision of markets for\r\nIT
services that describes an approach to the provision of such services\r\nthat
was novel at that time and, to a large extent, remains so today:\r\n„Our vision
of on-the-fly computing is that of IT services individually and\r\nautomatically
configured and brought to execution from flexibly combinable\r\nservices traded
on markets. At the same time, we aim at organizing\r\nmarkets whose participants
maintain a lively market of services through\r\nappropriate entrepreneurial actions.“\r\nOver
the last 12 years, we have developed methods and techniques to\r\naddress problems
critical to the convenient, efficient, and secure use of\r\non-the-fly computing.
Among other things, we have made the description\r\nof services more convenient
by allowing natural language input,\r\nincreased the quality of configured services
through (natural language)\r\ninteraction and more efficient configuration processes
and analysis\r\nprocedures, made the quality of (the products of) providers in
the\r\nmarketplace transparent through reputation systems, and increased the\r\nresource
efficiency of execution through reconfigurable heterogeneous\r\ncomputing nodes
and an integrated treatment of service description and\r\nconfiguration. We have
also developed network infrastructures that have\r\na high degree of adaptivity,
scalability, efficiency, and reliability, and\r\nprovide cryptographic guarantees
of anonymity and security for market\r\nparticipants and their products and services.\r\nTo
demonstrate the pervasiveness of the OTF computing approach, we\r\nhave implemented
a proof-of-concept for OTF computing that can run\r\ntypical scenarios of an OTF
market. We illustrated the approach using\r\na cutting-edge application scenario
– automated machine learning (AutoML).\r\nFinally, we have been pushing our work
for the perpetuation of\r\nOn-The-Fly Computing beyond the SFB and sharing the
expertise gained\r\nin the SFB in events with industry partners as well as transfer
projects.\r\nThis work required a broad spectrum of expertise. Computer scientists\r\nand
economists with research interests such as computer networks and\r\ndistributed
algorithms, security and cryptography, software engineering\r\nand verification,
configuration and machine learning, computer engineering\r\nand HPC, microeconomics
and game theory, business informatics\r\nand management have successfully collaborated
here."
alternative_title:
- Collaborative Research Centre 901 (2011 – 2023)
author:
- first_name: Claus-Jochen
full_name: Haake, Claus-Jochen
id: '20801'
last_name: Haake
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
citation:
ama: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H. On-The-Fly
Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Heinz
Nixdorf Institut, Universität Paderborn; 2023. doi:10.17619/UNIPB/1-1797
apa: Haake, C.-J., Meyer auf der Heide, F., Platzner, M., Wachsmuth, H., & Wehrheim,
H. (2023). On-The-Fly Computing -- Individualized IT-services in dynamic markets
(Vol. 412). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1797
bibtex: '@book{Haake_Meyer auf der Heide_Platzner_Wachsmuth_Wehrheim_2023, place={Paderborn},
series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={On-The-Fly
Computing -- Individualized IT-services in dynamic markets}, volume={412}, DOI={10.17619/UNIPB/1-1797}, publisher={Heinz
Nixdorf Institut, Universität Paderborn}, author={Haake, Claus-Jochen and Meyer
auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim,
Heike}, year={2023}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts}
}'
chicago: 'Haake, Claus-Jochen, Friedhelm Meyer auf der Heide, Marco Platzner, Henning
Wachsmuth, and Heike Wehrheim. On-The-Fly Computing -- Individualized IT-Services
in Dynamic Markets. Vol. 412. Verlagsschriftenreihe Des Heinz Nixdorf Instituts.
Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.17619/UNIPB/1-1797.'
ieee: 'C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim,
On-The-Fly Computing -- Individualized IT-services in dynamic markets,
vol. 412. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.'
mla: Haake, Claus-Jochen, et al. On-The-Fly Computing -- Individualized IT-Services
in Dynamic Markets. Heinz Nixdorf Institut, Universität Paderborn, 2023, doi:10.17619/UNIPB/1-1797.
short: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim,
On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf
Institut, Universität Paderborn, Paderborn, 2023.
date_created: 2023-07-05T07:16:51Z
date_updated: 2023-08-29T06:44:36Z
ddc:
- '000'
department:
- _id: '7'
doi: 10.17619/UNIPB/1-1797
file:
- access_level: open_access
content_type: application/pdf
creator: ups
date_created: 2023-07-05T07:15:55Z
date_updated: 2023-07-05T07:19:14Z
file_id: '45864'
file_name: SFB-Buch-Final.pdf
file_size: 15480050
relation: main_file
file_date_updated: 2023-07-05T07:19:14Z
has_accepted_license: '1'
intvolume: ' 412'
language:
- iso: eng
oa: '1'
page: '247'
place: Paderborn
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '2'
name: 'SFB 901 - A: SFB 901 - Project Area A'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '82'
name: 'SFB 901 - T: SFB 901 - Project Area T'
- _id: '5'
grant_number: '160364472'
name: 'SFB 901 - A1: SFB 901 - Möglichkeiten und Grenzen lokaler Strategien in dynamischen
Netzen (Subproject A1)'
- _id: '7'
grant_number: '160364472'
name: 'SFB 901 - A3: SFB 901 - Der Markt für Services: Anreize, Algorithmen, Implementation
(Subproject A3)'
- _id: '8'
grant_number: '160364472'
name: 'SFB 901 - A4: SFB 901 - Empirische Analysen in Märkten für OTF Dienstleistungen
(Subproject A4)'
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
- _id: '10'
grant_number: '160364472'
name: 'SFB 901 - B2: Konfiguration und Bewertung (B02)'
- _id: '11'
name: 'SFB 901 - B3: SFB 901 - Subproject B3'
- _id: '12'
name: 'SFB 901 - B4: SFB 901 - Subproject B4'
- _id: '13'
name: 'SFB 901 - C1: SFB 901 - Subproject C1'
- _id: '14'
grant_number: '160364472'
name: 'SFB 901 - C2: SFB 901 - On-The-Fly Compute Centers I: Heterogene Ausführungsumgebungen
(Subproject C2)'
- _id: '16'
grant_number: '160364472'
name: 'SFB 901 - C4: SFB 901 - On-The-Fly Compute Centers II: Ausführung komponierter
Dienste in konfigurierbaren Rechenzentren (Subproject C4)'
- _id: '17'
name: 'SFB 901 - C5: SFB 901 - Subproject C5'
- _id: '83'
name: 'SFB 901 - T1: SFB 901 -Subproject T1'
- _id: '84'
name: 'SFB 901 - T2: SFB 901 -Subproject T2'
publication_identifier:
unknown:
- 978-3-947647-31-6
publisher: Heinz Nixdorf Institut, Universität Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
title: On-The-Fly Computing -- Individualized IT-services in dynamic markets
type: book
user_id: '477'
volume: 412
year: '2023'
...
---
_id: '33274'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Mei-Hua
full_name: Chen, Mei-Hua
last_name: Chen
- first_name: Garima
full_name: Mudgal, Garima
last_name: Mudgal
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Chen W-F, Chen M-H, Mudgal G, Wachsmuth H. Analyzing Culture-Specific Argument
Structures in Learner Essays. In: Proceedings of the 9th Workshop on Argument
Mining (ArgMining 2022). ; 2022:51-61.'
apa: Chen, W.-F., Chen, M.-H., Mudgal, G., & Wachsmuth, H. (2022). Analyzing
Culture-Specific Argument Structures in Learner Essays. Proceedings of the
9th Workshop on Argument Mining (ArgMining 2022), 51–61.
bibtex: '@inproceedings{Chen_Chen_Mudgal_Wachsmuth_2022, title={Analyzing Culture-Specific
Argument Structures in Learner Essays}, booktitle={Proceedings of the 9th Workshop
on Argument Mining (ArgMining 2022)}, author={Chen, Wei-Fan and Chen, Mei-Hua
and Mudgal, Garima and Wachsmuth, Henning}, year={2022}, pages={51–61} }'
chicago: Chen, Wei-Fan, Mei-Hua Chen, Garima Mudgal, and Henning Wachsmuth. “Analyzing
Culture-Specific Argument Structures in Learner Essays.” In Proceedings of
the 9th Workshop on Argument Mining (ArgMining 2022), 51–61, 2022.
ieee: W.-F. Chen, M.-H. Chen, G. Mudgal, and H. Wachsmuth, “Analyzing Culture-Specific
Argument Structures in Learner Essays,” in Proceedings of the 9th Workshop
on Argument Mining (ArgMining 2022), 2022, pp. 51–61.
mla: Chen, Wei-Fan, et al. “Analyzing Culture-Specific Argument Structures in Learner
Essays.” Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022),
2022, pp. 51–61.
short: 'W.-F. Chen, M.-H. Chen, G. Mudgal, H. Wachsmuth, in: Proceedings of the
9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.'
date_created: 2022-09-06T13:51:23Z
date_updated: 2022-11-18T09:56:17Z
department:
- _id: '600'
language:
- iso: eng
page: 51 - 61
project:
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
publication: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)
status: public
title: Analyzing Culture-Specific Argument Structures in Learner Essays
type: conference
user_id: '477'
year: '2022'
...
---
_id: '32179'
abstract:
- lang: eng
text: This work addresses the automatic resolution of software requirements. In
the vision of On-The-Fly Computing, software services should be composed on demand,
based solely on natural language input from human users. To enable this, we build
a chatbot solution that works with human-in-the-loop support to receive, analyze,
correct, and complete their software requirements. The chatbot is equipped with
a natural language processing pipeline and a large knowledge base, as well as
sophisticated dialogue management skills to enhance the user experience. Previous
solutions have focused on analyzing software requirements to point out errors
such as vagueness, ambiguity, or incompleteness. Our work shows how apps can collaborate
with users to efficiently produce correct requirements. We developed and compared
three different chatbot apps that can work with built-in knowledge. We rely on
ChatterBot, DialoGPT and Rasa for this purpose. While DialoGPT provides its own
knowledge base, Rasa is the best system to combine the text mining and knowledge
solutions at our disposal. The evaluation shows that users accept 73% of the suggested
answers from Rasa, while they accept only 63% from DialoGPT or even 36% from ChatterBot.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Mobeen
full_name: Ahmed, Mobeen
last_name: Ahmed
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Ahmed M, Geierhos M. Chatbot-Enhanced Requirements Resolution
for Automated Service Compositions. In: Stephanidis C, Antona M, Ntoa S, eds.
HCI International 2022 Posters. Vol 1580. Communications in Computer and
Information Science (CCIS). Springer International Publishing; 2022:419--426.
doi:10.1007/978-3-031-06417-3_56'
apa: Kersting, J., Ahmed, M., & Geierhos, M. (2022). Chatbot-Enhanced Requirements
Resolution for Automated Service Compositions. In C. Stephanidis, M. Antona, &
S. Ntoa (Eds.), HCI International 2022 Posters (Vol. 1580, pp. 419--426).
Springer International Publishing. https://doi.org/10.1007/978-3-031-06417-3_56
bibtex: '@inbook{Kersting_Ahmed_Geierhos_2022, place={Cham, Switzerland}, series={Communications
in Computer and Information Science (CCIS)}, title={Chatbot-Enhanced Requirements
Resolution for Automated Service Compositions}, volume={1580}, DOI={10.1007/978-3-031-06417-3_56},
booktitle={HCI International 2022 Posters}, publisher={Springer International
Publishing}, author={Kersting, Joschka and Ahmed, Mobeen and Geierhos, Michaela},
editor={Stephanidis, Constantine and Antona, Margherita and Ntoa, Stavroula},
year={2022}, pages={419--426}, collection={Communications in Computer and Information
Science (CCIS)} }'
chicago: 'Kersting, Joschka, Mobeen Ahmed, and Michaela Geierhos. “Chatbot-Enhanced
Requirements Resolution for Automated Service Compositions.” In HCI International
2022 Posters, edited by Constantine Stephanidis, Margherita Antona, and Stavroula
Ntoa, 1580:419--426. Communications in Computer and Information Science (CCIS).
Cham, Switzerland: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-06417-3_56.'
ieee: 'J. Kersting, M. Ahmed, and M. Geierhos, “Chatbot-Enhanced Requirements Resolution
for Automated Service Compositions,” in HCI International 2022 Posters,
vol. 1580, C. Stephanidis, M. Antona, and S. Ntoa, Eds. Cham, Switzerland: Springer
International Publishing, 2022, pp. 419--426.'
mla: Kersting, Joschka, et al. “Chatbot-Enhanced Requirements Resolution for Automated
Service Compositions.” HCI International 2022 Posters, edited by Constantine
Stephanidis et al., vol. 1580, Springer International Publishing, 2022, pp. 419--426,
doi:10.1007/978-3-031-06417-3_56.
short: 'J. Kersting, M. Ahmed, M. Geierhos, in: C. Stephanidis, M. Antona, S. Ntoa
(Eds.), HCI International 2022 Posters, Springer International Publishing, Cham,
Switzerland, 2022, pp. 419--426.'
conference:
end_date: 2022-07-01
location: Virtual
name: 24th International Conference on Human-Computer Interaction (HCII 2022)
start_date: 2022-06-26
date_created: 2022-06-27T09:27:06Z
date_updated: 2022-11-28T13:22:16Z
ddc:
- '004'
department:
- _id: '579'
doi: 10.1007/978-3-031-06417-3_56
editor:
- first_name: Constantine
full_name: Stephanidis, Constantine
last_name: Stephanidis
- first_name: Margherita
full_name: Antona, Margherita
last_name: Antona
- first_name: Stavroula
full_name: Ntoa, Stavroula
last_name: Ntoa
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2022-11-28T13:21:32Z
date_updated: 2022-11-28T13:21:32Z
file_id: '34150'
file_name: Kersting et al. (2022), Kersting2022.pdf
file_size: 1153017
relation: main_file
success: 1
file_date_updated: 2022-11-28T13:21:32Z
has_accepted_license: '1'
intvolume: ' 1580'
keyword:
- On-The-Fly Computing
- Chatbot
- Knowledge Base
language:
- iso: eng
page: 419--426
place: Cham, Switzerland
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: HCI International 2022 Posters
publication_identifier:
isbn:
- '9783031064166'
- '9783031064173'
issn:
- 1865-0929
- 1865-0937
publication_status: published
publisher: Springer International Publishing
related_material:
link:
- relation: confirmation
url: https://link.springer.com/chapter/10.1007/978-3-031-06417-3_56
series_title: Communications in Computer and Information Science (CCIS)
status: public
title: Chatbot-Enhanced Requirements Resolution for Automated Service Compositions
type: book_chapter
user_id: '58701'
volume: 1580
year: '2022'
...
---
_id: '31054'
abstract:
- lang: eng
text: This paper aims at discussing past limitations set in sentiment analysis research
regarding explicit and implicit mentions of opinions. Previous studies have regularly
neglected this question in favor of methodical research on standard-datasets.
Furthermore, they were limited to linguistically less-diverse domains, such as
commercial product reviews. We face this issue by annotating a German-language
physician review dataset that contains numerous implicit, long, and complex statements
that indicate aspect ratings, such as the physician’s friendliness. We discuss
the nature of implicit statements and present various samples to illustrate the
challenge described.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
citation:
ama: 'Kersting J, Bäumer FS. Implicit Statements in Healthcare Reviews: A Challenge
for Sentiment Analysis. In: Kersting J, ed. Proceedings of the Fourteenth International
Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track
AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications.
IARIA; 2022:5-9.'
apa: 'Kersting, J., & Bäumer, F. S. (2022). Implicit Statements in Healthcare
Reviews: A Challenge for Sentiment Analysis. In J. Kersting (Ed.), Proceedings
of the Fourteenth International Conference on Pervasive Patterns and Applications
(PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data
Science for Real-World Applications (pp. 5–9). IARIA.'
bibtex: '@inproceedings{Kersting_Bäumer_2022, place={Barcelona, Spain}, title={Implicit
Statements in Healthcare Reviews: A Challenge for Sentiment Analysis}, booktitle={Proceedings
of the Fourteenth International Conference on Pervasive Patterns and Applications
(PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data
Science for Real-World Applications}, publisher={IARIA}, author={Kersting, Joschka
and Bäumer, Frederik Simon}, editor={Kersting, Joschka}, year={2022}, pages={5–9}
}'
chicago: 'Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in
Healthcare Reviews: A Challenge for Sentiment Analysis.” In Proceedings of
the Fourteenth International Conference on Pervasive Patterns and Applications
(PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data
Science for Real-World Applications, edited by Joschka Kersting, 5–9. Barcelona,
Spain: IARIA, 2022.'
ieee: 'J. Kersting and F. S. Bäumer, “Implicit Statements in Healthcare Reviews:
A Challenge for Sentiment Analysis,” in Proceedings of the Fourteenth International
Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track
AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications,
Barcelona, Spain, 2022, pp. 5–9.'
mla: 'Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in Healthcare
Reviews: A Challenge for Sentiment Analysis.” Proceedings of the Fourteenth
International Conference on Pervasive Patterns and Applications (PATTERNS 2022):
Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World
Applications, edited by Joschka Kersting, IARIA, 2022, pp. 5–9.'
short: 'J. Kersting, F.S. Bäumer, in: J. Kersting (Ed.), Proceedings of the Fourteenth
International Conference on Pervasive Patterns and Applications (PATTERNS 2022):
Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World
Applications, IARIA, Barcelona, Spain, 2022, pp. 5–9.'
conference:
location: Barcelona, Spain
name: The Fourteenth International Conference on Pervasive Patterns and Applications
(PATTERNS 2022)
start_date: 2022-03
date_created: 2022-05-04T08:12:09Z
date_updated: 2022-12-01T13:40:11Z
ddc:
- '006'
editor:
- first_name: Joschka
full_name: Kersting, Joschka
last_name: Kersting
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2022-12-01T13:39:48Z
date_updated: 2022-12-01T13:39:48Z
file_id: '34172'
file_name: Kersting & Bäumer (2022), Kersting2022.pdf
file_size: 155548
relation: main_file
success: 1
file_date_updated: 2022-12-01T13:39:48Z
has_accepted_license: '1'
keyword:
- Sentiment analysis
- Natural language processing
- Aspect phrase extraction
language:
- iso: eng
page: 5-9
place: Barcelona, Spain
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: 'Proceedings of the Fourteenth International Conference on Pervasive
Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial
Intelligence - Data Science for Real-World Applications'
publication_status: published
publisher: IARIA
status: public
title: 'Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis'
type: conference
user_id: '58701'
year: '2022'
...
---
_id: '31068'
author:
- first_name: Mei-Hua
full_name: Chen, Mei-Hua
last_name: Chen
- first_name: Garima
full_name: Mudgal, Garima
last_name: Mudgal
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Chen M-H, Mudgal G, Chen W-F, Wachsmuth H. Investigating the argumentation
structures of EFL learners from diverse language backgrounds. In: EUROCALL.
; 2022.'
apa: Chen, M.-H., Mudgal, G., Chen, W.-F., & Wachsmuth, H. (2022). Investigating
the argumentation structures of EFL learners from diverse language backgrounds.
EUROCALL.
bibtex: '@inproceedings{Chen_Mudgal_Chen_Wachsmuth_2022, title={Investigating the
argumentation structures of EFL learners from diverse language backgrounds}, booktitle={EUROCALL},
author={Chen, Mei-Hua and Mudgal, Garima and Chen, Wei-Fan and Wachsmuth, Henning},
year={2022} }'
chicago: Chen, Mei-Hua, Garima Mudgal, Wei-Fan Chen, and Henning Wachsmuth. “Investigating
the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.”
In EUROCALL, 2022.
ieee: M.-H. Chen, G. Mudgal, W.-F. Chen, and H. Wachsmuth, “Investigating the argumentation
structures of EFL learners from diverse language backgrounds,” 2022.
mla: Chen, Mei-Hua, et al. “Investigating the Argumentation Structures of EFL Learners
from Diverse Language Backgrounds.” EUROCALL, 2022.
short: 'M.-H. Chen, G. Mudgal, W.-F. Chen, H. Wachsmuth, in: EUROCALL, 2022.'
date_created: 2022-05-05T07:50:21Z
date_updated: 2022-05-09T14:58:39Z
department:
- _id: '600'
language:
- iso: eng
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: EUROCALL
status: public
title: Investigating the argumentation structures of EFL learners from diverse language
backgrounds
type: conference_abstract
user_id: '82920'
year: '2022'
...
---
_id: '29000'
abstract:
- lang: eng
text: "This thesis aims to provide a bidirectional chatbot solution for the requirement
engineering process. The Sonderforschungsbereich (SFB) 901 intends to provide
the composition of software service On-the-Fly (OTF). The sub-project (B1) of
the SFB 901 project deals with the parameters of service configuration. OTF Computing
aims to eradicate the dependency on the requirement engineers for the software
development process. However, there is no existing bidirectional chatbot solution
that analyses user software requirements and provides viable suggestions to the
user regarding their service. Previously, CORDULA chatbot was developed to analyze
the software requirements but cannot keep the conversation’s context. The Rasa
framework is integrated with the knowledge base to solve the issue, the knowledge
base provides domain-specific knowledge to the chatbot. The software description
is passed through the natural language understanding process to give consciousness
to the chatbot. This process involves various machine learning models, including
app family classification, to correctly identify the domain for user OTF service.
The statistical models like naïve Bayes, kNN and SVM are compared with transformer
models for this classification task. Furthermore, the entities (functional requirements)
are also separated from the user description.\r\nThe chatbot provides the suggestion
of requirements from the preliminary service template with the support of the
knowledge base. Furthermore, the generated response is compared with the state-of-the-art
DialoGPT transformer model and ChatterBot conversational library. These models
are trained over the software development related conversational dataset. All
the responses are ranked using the DialoRPT model, and the BLEU score to evaluates
the models’ responses. Moreover, the chatbot mod- els are tested with human participants,
they used and scored the chatbot responses based on effectiveness, efficiency
and satisfaction. The overall response accuracy is also measured by averaging
the user approval over the generated responses."
author:
- first_name: Mobeen
full_name: Ahmed, Mobeen
last_name: Ahmed
citation:
ama: Ahmed M. Knowledge Base Enhanced & User-Centric Dialogue Design for
OTF Computing.; 2022.
apa: Ahmed, M. (2022). Knowledge Base Enhanced & User-centric Dialogue Design
for OTF Computing.
bibtex: '@book{Ahmed_2022, title={Knowledge Base Enhanced & User-centric Dialogue
Design for OTF Computing}, author={Ahmed, Mobeen}, year={2022} }'
chicago: Ahmed, Mobeen. Knowledge Base Enhanced & User-Centric Dialogue Design
for OTF Computing, 2022.
ieee: M. Ahmed, Knowledge Base Enhanced & User-centric Dialogue Design for
OTF Computing. 2022.
mla: Ahmed, Mobeen. Knowledge Base Enhanced & User-Centric Dialogue Design
for OTF Computing. 2022.
short: M. Ahmed, Knowledge Base Enhanced & User-Centric Dialogue Design for
OTF Computing, 2022.
date_created: 2021-12-16T15:13:07Z
date_updated: 2023-05-02T13:25:45Z
ddc:
- '004'
department:
- _id: '600'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2023-05-02T13:25:27Z
date_updated: 2023-05-02T13:25:27Z
file_id: '44325'
file_name: Thesis-Report-MOBEEN-AHMED-6856465-Knowledge_Base_Enhanced___User_centric_Dialogue_Design_for_OTFComputing.pdf
file_size: 3092211
relation: main_file
success: 1
file_date_updated: 2023-05-02T13:25:27Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication_status: published
status: public
supervisor:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
title: Knowledge Base Enhanced & User-centric Dialogue Design for OTF Computing
type: mastersthesis
user_id: '58701'
year: '2022'
...
---
_id: '45790'
author:
- first_name: Juela
full_name: Palushi, Juela
last_name: Palushi
citation:
ama: Palushi J. Domain-Aware Text Professionalization Using Sequence-to-Sequence
Neural Networks.; 2022.
apa: Palushi, J. (2022). Domain-aware Text Professionalization using Sequence-to-Sequence
Neural Networks.
bibtex: '@book{Palushi_2022, title={Domain-aware Text Professionalization using
Sequence-to-Sequence Neural Networks}, author={Palushi, Juela}, year={2022} }'
chicago: Palushi, Juela. Domain-Aware Text Professionalization Using Sequence-to-Sequence
Neural Networks, 2022.
ieee: J. Palushi, Domain-aware Text Professionalization using Sequence-to-Sequence
Neural Networks. 2022.
mla: Palushi, Juela. Domain-Aware Text Professionalization Using Sequence-to-Sequence
Neural Networks. 2022.
short: J. Palushi, Domain-Aware Text Professionalization Using Sequence-to-Sequence
Neural Networks, 2022.
date_created: 2023-06-27T12:57:57Z
date_updated: 2023-07-05T07:31:17Z
department:
- _id: '600'
language:
- iso: eng
project:
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
status: public
supervisor:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
title: Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks
type: bachelorsthesis
user_id: '477'
year: '2022'
...
---
_id: '45789'
author:
- first_name: Vinaykumar
full_name: Budanurmath, Vinaykumar
last_name: Budanurmath
citation:
ama: Budanurmath V. Propaganda Technique Detection Using Connotation Frames.;
2022.
apa: Budanurmath, V. (2022). Propaganda Technique Detection Using Connotation
Frames.
bibtex: '@book{Budanurmath_2022, title={Propaganda Technique Detection Using Connotation
Frames}, author={Budanurmath, Vinaykumar}, year={2022} }'
chicago: Budanurmath, Vinaykumar. Propaganda Technique Detection Using Connotation
Frames, 2022.
ieee: V. Budanurmath, Propaganda Technique Detection Using Connotation Frames.
2022.
mla: Budanurmath, Vinaykumar. Propaganda Technique Detection Using Connotation
Frames. 2022.
short: V. Budanurmath, Propaganda Technique Detection Using Connotation Frames,
2022.
date_created: 2023-06-27T12:56:04Z
date_updated: 2023-07-05T07:33:45Z
department:
- _id: '600'
language:
- iso: eng
project:
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
status: public
supervisor:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
title: Propaganda Technique Detection Using Connotation Frames
type: mastersthesis
user_id: '477'
year: '2022'
...
---
_id: '26049'
abstract:
- lang: eng
text: 'Content is the new oil. Users consume billions of terabytes a day while surfing
on news sites or blogs, posting on social media sites, and sending chat messages
around the globe. While content is heterogeneous, the dominant form of web content
is text. There are situations where more diversity needs to be introduced into
text content, for example, to reuse it on websites or to allow a chatbot to base
its models on the information conveyed rather than of the language used. In order
to achieve this, paraphrasing techniques have been developed: One example is Text
spinning, a technique that automatically paraphrases text while leaving the intent
intact. This makes it easier to reuse content, or to change the language generated
by the bot more human. One method for modifying texts is a combination of translation
and back-translation. This paper presents NATTS, a naive approach that uses transformer-based
translation models to create diversified text, combining translation steps in
one model. An advantage of this approach is that it can be fine-tuned and handle
technical language.'
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
last_name: Bäumer
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Sergej
full_name: Denisov, Sergej
last_name: Denisov
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Bäumer FS, Kersting J, Denisov S, Geierhos M. IN OTHER WORDS: A NAIVE APPROACH
TO TEXT SPINNING. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET
2021 AND APPLIED COMPUTING 2021. IADIS; 2021:221--225.'
apa: 'Bäumer, F. S., Kersting, J., Denisov, S., & Geierhos, M. (2021). IN OTHER
WORDS: A NAIVE APPROACH TO TEXT SPINNING. PROCEEDINGS OF THE INTERNATIONAL
CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, 221--225.'
bibtex: '@inproceedings{Bäumer_Kersting_Denisov_Geierhos_2021, title={IN OTHER WORDS:
A NAIVE APPROACH TO TEXT SPINNING}, booktitle={PROCEEDINGS OF THE INTERNATIONAL
CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021}, publisher={IADIS},
author={Bäumer, Frederik Simon and Kersting, Joschka and Denisov, Sergej and Geierhos,
Michaela}, year={2021}, pages={221--225} }'
chicago: 'Bäumer, Frederik Simon, Joschka Kersting, Sergej Denisov, and Michaela
Geierhos. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” In PROCEEDINGS
OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021,
221--225. IADIS, 2021.'
ieee: 'F. S. Bäumer, J. Kersting, S. Denisov, and M. Geierhos, “IN OTHER WORDS:
A NAIVE APPROACH TO TEXT SPINNING,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCES
ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, Lisbon, Portugal, 2021, pp.
221--225.'
mla: 'Bäumer, Frederik Simon, et al. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.”
PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED
COMPUTING 2021, IADIS, 2021, pp. 221--225.'
short: 'F.S. Bäumer, J. Kersting, S. Denisov, M. Geierhos, in: PROCEEDINGS OF THE
INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, IADIS,
2021, pp. 221--225.'
conference:
end_date: 15.10.2021
location: Lisbon, Portugal
name: 18th International Conference on Applied Computing
start_date: 13.10.2021
date_created: 2021-10-11T15:26:58Z
date_updated: 2022-01-06T06:57:16Z
ddc:
- '000'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2021-10-15T15:54:41Z
date_updated: 2021-10-15T15:54:41Z
file_id: '26282'
file_name: Bäumer et al. (2021), Baeumer2021.pdf
file_size: 411667
relation: main_file
success: 1
file_date_updated: 2021-10-15T15:54:41Z
has_accepted_license: '1'
keyword:
- Software Requirements
- Natural Language Processing
- Transfer Learning
- On-The-Fly Computing
language:
- iso: eng
page: 221--225
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND
APPLIED COMPUTING 2021
publisher: IADIS
status: public
title: 'IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING'
type: conference
user_id: '58701'
year: '2021'
...
---
_id: '17905'
abstract:
- lang: eng
text: 'This chapter concentrates on aspect-based sentiment analysis, a form of opinion
mining where algorithms detect sentiments expressed about features of products,
services, etc. We especially focus on novel approaches for aspect phrase extraction
and classification trained on feature-rich datasets. Here, we present two new
datasets, which we gathered from the linguistically rich domain of physician reviews,
as other investigations have mainly concentrated on commercial reviews and social
media reviews so far. To give readers a better understanding of the underlying
datasets, we describe the annotation process and inter-annotator agreement in
detail. In our research, we automatically assess implicit mentions or indications
of specific aspects. To do this, we propose and utilize neural network models
that perform the here-defined aspect phrase extraction and classification task,
achieving F1-score values of about 80% and accuracy values of more than 90%. As
we apply our models to a comparatively complex domain, we obtain promising results. '
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Geierhos M. Towards Aspect Extraction and Classification for Opinion
Mining with Deep Sequence Networks. In: Loukanova R, ed. Natural Language Processing
in Artificial Intelligence -- NLPinAI 2020. Vol 939. Studies in Computational
Intelligence (SCI). Cham: Springer; 2021:163--189. doi:10.1007/978-3-030-63787-3_6'
apa: 'Kersting, J., & Geierhos, M. (2021). Towards Aspect Extraction and Classification
for Opinion Mining with Deep Sequence Networks. In R. Loukanova (Ed.), Natural
Language Processing in Artificial Intelligence -- NLPinAI 2020 (Vol. 939,
pp. 163--189). Cham: Springer. https://doi.org/10.1007/978-3-030-63787-3_6'
bibtex: '@inbook{Kersting_Geierhos_2021, place={Cham}, series={Studies in Computational
Intelligence (SCI)}, title={Towards Aspect Extraction and Classification for Opinion
Mining with Deep Sequence Networks}, volume={939}, DOI={10.1007/978-3-030-63787-3_6},
booktitle={Natural Language Processing in Artificial Intelligence -- NLPinAI 2020},
publisher={Springer}, author={Kersting, Joschka and Geierhos, Michaela}, editor={Loukanova,
RoussankaEditor}, year={2021}, pages={163--189}, collection={Studies in Computational
Intelligence (SCI)} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “Towards Aspect Extraction and
Classification for Opinion Mining with Deep Sequence Networks.” In Natural
Language Processing in Artificial Intelligence -- NLPinAI 2020, edited by
Roussanka Loukanova, 939:163--189. Studies in Computational Intelligence (SCI).
Cham: Springer, 2021. https://doi.org/10.1007/978-3-030-63787-3_6.'
ieee: 'J. Kersting and M. Geierhos, “Towards Aspect Extraction and Classification
for Opinion Mining with Deep Sequence Networks,” in Natural Language Processing
in Artificial Intelligence -- NLPinAI 2020, vol. 939, R. Loukanova, Ed. Cham:
Springer, 2021, pp. 163--189.'
mla: Kersting, Joschka, and Michaela Geierhos. “Towards Aspect Extraction and Classification
for Opinion Mining with Deep Sequence Networks.” Natural Language Processing
in Artificial Intelligence -- NLPinAI 2020, edited by Roussanka Loukanova,
vol. 939, Springer, 2021, pp. 163--189, doi:10.1007/978-3-030-63787-3_6.
short: 'J. Kersting, M. Geierhos, in: R. Loukanova (Ed.), Natural Language Processing
in Artificial Intelligence -- NLPinAI 2020, Springer, Cham, 2021, pp. 163--189.'
date_created: 2020-08-13T09:29:52Z
date_updated: 2022-01-06T06:53:23Z
ddc:
- '000'
department:
- _id: '579'
doi: 10.1007/978-3-030-63787-3_6
editor:
- first_name: Roussanka
full_name: Loukanova, Roussanka
last_name: Loukanova
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2021-04-08T08:14:05Z
date_updated: 2021-04-08T08:14:05Z
file_id: '21594'
file_name: Kersting-Geierhos2021_Chapter_TowardsAspectExtractionAndClas.pdf
file_size: 512065
relation: main_file
success: 1
file_date_updated: 2021-04-08T08:14:05Z
has_accepted_license: '1'
intvolume: ' 939'
language:
- iso: eng
page: '163--189 '
place: Cham
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Natural Language Processing in Artificial Intelligence -- NLPinAI 2020
publication_identifier:
unknown:
- 978-3-030-63786-6 ; 978-3-030-63787-3
publication_status: published
publisher: Springer
series_title: Studies in Computational Intelligence (SCI)
status: public
title: Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence
Networks
type: book_chapter
user_id: '58701'
volume: 939
year: '2021'
...
---
_id: '22051'
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Geierhos M. Well-being in Plastic Surgery: Deep Learning Reveals
Patients’ Evaluations. In: Proceedings of the 10th International Conference
on Data Science, Technology and Applications (DATA 2021). SCITEPRESS; 2021:275--284.'
apa: 'Kersting, J., & Geierhos, M. (2021). Well-being in Plastic Surgery: Deep
Learning Reveals Patients’ Evaluations. Proceedings of the 10th International
Conference on Data Science, Technology and Applications (DATA 2021), 275--284.'
bibtex: '@inproceedings{Kersting_Geierhos_2021, place={Online}, title={Well-being
in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations}, booktitle={Proceedings
of the 10th International Conference on Data Science, Technology and Applications
(DATA 2021)}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos,
Michaela}, year={2021}, pages={275--284} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “Well-Being in Plastic Surgery:
Deep Learning Reveals Patients’ Evaluations.” In Proceedings of the 10th International
Conference on Data Science, Technology and Applications (DATA 2021), 275--284.
Online: SCITEPRESS, 2021.'
ieee: 'J. Kersting and M. Geierhos, “Well-being in Plastic Surgery: Deep Learning
Reveals Patients’ Evaluations,” in Proceedings of the 10th International Conference
on Data Science, Technology and Applications (DATA 2021), Online, 2021, pp.
275--284.'
mla: 'Kersting, Joschka, and Michaela Geierhos. “Well-Being in Plastic Surgery:
Deep Learning Reveals Patients’ Evaluations.” Proceedings of the 10th International
Conference on Data Science, Technology and Applications (DATA 2021), SCITEPRESS,
2021, pp. 275--284.'
short: 'J. Kersting, M. Geierhos, in: Proceedings of the 10th International Conference
on Data Science, Technology and Applications (DATA 2021), SCITEPRESS, Online,
2021, pp. 275--284.'
conference:
end_date: 2021-07-08
location: Online
name: 10th International Conference on Data Science, Technology and Applications
(DATA 2021)
start_date: 2021-07-06
date_created: 2021-05-07T16:27:27Z
date_updated: 2022-01-06T06:55:23Z
department:
- _id: '579'
language:
- iso: eng
page: 275--284
place: Online
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Proceedings of the 10th International Conference on Data Science, Technology
and Applications (DATA 2021)
publication_status: published
publisher: SCITEPRESS
status: public
title: 'Well-being in Plastic Surgery: Deep Learning Reveals Patients'' Evaluations'
type: conference
user_id: '58701'
year: '2021'
...
---
_id: '22052'
abstract:
- lang: eng
text: In this study, we describe a text processing pipeline that transforms user-generated
text into structured data. To do this, we train neural and transformer-based models
for aspect-based sentiment analysis. As most research deals with explicit aspects
from product or service data, we extract and classify implicit and explicit aspect
phrases from German-language physician review texts. Patients often rate on the
basis of perceived friendliness or competence. The vocabulary is difficult, the
topic sensitive, and the data user-generated. The aspect phrases come with various
wordings using insertions and are not noun-based, which makes the presented case
equally relevant and reality-based. To find complex, indirect aspect phrases,
up-to-date deep learning approaches must be combined with supervised training
data. We describe three aspect phrase datasets, one of them new, as well as a
newly annotated aspect polarity dataset. Alongside this, we build an algorithm
to rate the aspect phrase importance. All in all, we train eight transformers
on the new raw data domain, compare 54 neural aspect extraction models and, based
on this, create eight aspect polarity models for our pipeline. These models are
evaluated by using Precision, Recall, and F-Score measures. Finally, we evaluate
our aspect phrase importance measure algorithm.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Geierhos M. Human Language Comprehension in Aspect Phrase Extraction
with Importance Weighting. In: Kapetanios E, Horacek H, Métais E, Meziane F, eds.
Natural Language Processing and Information Systems. Vol 12801. Lecture
Notes in Computer Science. Springer; 2021:231--242.'
apa: Kersting, J., & Geierhos, M. (2021). Human Language Comprehension in Aspect
Phrase Extraction with Importance Weighting. In E. Kapetanios, H. Horacek, E.
Métais, & F. Meziane (Eds.), Natural Language Processing and Information
Systems (Vol. 12801, pp. 231--242). Springer.
bibtex: '@inbook{Kersting_Geierhos_2021, place={Saarbrücken, Germany}, series={Lecture
Notes in Computer Science}, title={Human Language Comprehension in Aspect Phrase
Extraction with Importance Weighting}, volume={12801}, booktitle={Natural Language
Processing and Information Systems}, publisher={Springer}, author={Kersting, Joschka
and Geierhos, Michaela}, editor={Kapetanios, Epaminondas and Horacek, Helmut and
Métais, Elisabeth and Meziane, Farid}, year={2021}, pages={231--242}, collection={Lecture
Notes in Computer Science} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “Human Language Comprehension
in Aspect Phrase Extraction with Importance Weighting.” In Natural Language
Processing and Information Systems, edited by Epaminondas Kapetanios, Helmut
Horacek, Elisabeth Métais, and Farid Meziane, 12801:231--242. Lecture Notes in
Computer Science. Saarbrücken, Germany: Springer, 2021.'
ieee: 'J. Kersting and M. Geierhos, “Human Language Comprehension in Aspect Phrase
Extraction with Importance Weighting,” in Natural Language Processing and Information
Systems, vol. 12801, E. Kapetanios, H. Horacek, E. Métais, and F. Meziane,
Eds. Saarbrücken, Germany: Springer, 2021, pp. 231--242.'
mla: Kersting, Joschka, and Michaela Geierhos. “Human Language Comprehension in
Aspect Phrase Extraction with Importance Weighting.” Natural Language Processing
and Information Systems, edited by Epaminondas Kapetanios et al., vol. 12801,
Springer, 2021, pp. 231--242.
short: 'J. Kersting, M. Geierhos, in: E. Kapetanios, H. Horacek, E. Métais, F. Meziane
(Eds.), Natural Language Processing and Information Systems, Springer, Saarbrücken,
Germany, 2021, pp. 231--242.'
conference:
end_date: 2021-06-25
location: Saarbrücken, Germany
name: 26th International Conference on Natural Language & Information Systems (NLDB
2021)
start_date: 2021-06-23
date_created: 2021-05-07T16:31:05Z
date_updated: 2022-07-14T08:00:56Z
ddc:
- '004'
department:
- _id: '579'
editor:
- first_name: Epaminondas
full_name: Kapetanios, Epaminondas
last_name: Kapetanios
- first_name: Helmut
full_name: Horacek, Helmut
last_name: Horacek
- first_name: Elisabeth
full_name: Métais, Elisabeth
last_name: Métais
- first_name: Farid
full_name: Meziane, Farid
last_name: Meziane
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2022-07-14T08:00:35Z
date_updated: 2022-07-14T08:00:35Z
file_id: '32362'
file_name: Kersting & Geierhos (2021b), Kersting2021b.pdf
file_size: 506329
relation: main_file
success: 1
file_date_updated: 2022-07-14T08:00:35Z
has_accepted_license: '1'
intvolume: ' 12801'
language:
- iso: eng
page: 231--242
place: Saarbrücken, Germany
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Natural Language Processing and Information Systems
publication_status: published
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting
type: book_chapter
user_id: '58701'
volume: 12801
year: '2021'
...
---
_id: '21178'
abstract:
- lang: eng
text: "When engaging in argumentative discourse, skilled human debaters tailor\r\nclaims
to the beliefs of the audience, to construct effective arguments.\r\nRecently,
the field of computational argumentation witnessed extensive effort\r\nto address
the automatic generation of arguments. However, existing approaches\r\ndo not
perform any audience-specific adaptation. In this work, we aim to bridge\r\nthis
gap by studying the task of belief-based claim generation: Given a\r\ncontroversial
topic and a set of beliefs, generate an argumentative claim\r\ntailored to the
beliefs. To tackle this task, we model the people's prior\r\nbeliefs through their
stances on controversial topics and extend\r\nstate-of-the-art text generation
models to generate claims conditioned on the\r\nbeliefs. Our automatic evaluation
confirms the ability of our approach to adapt\r\nclaims to a set of given beliefs.
In a manual study, we additionally evaluate\r\nthe generated claims in terms of
informativeness and their likelihood to be\r\nuttered by someone with a respective
belief. Our results reveal the limitations\r\nof modeling users' beliefs based
on their stances, but demonstrate the\r\npotential of encoding beliefs into argumentative
texts, laying the ground for\r\nfuture exploration of audience reach."
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Timon
full_name: Gurcke, Timon
id: '52174'
last_name: Gurcke
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Alshomary M, Chen W-F, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative
Claims. In: Proceedings of the 16th Conference of the European Chapter of the
Association for Computational Linguistics: Main Volume. Association for Computational
Linguistics; 2021:224-223.'
apa: 'Alshomary, M., Chen, W.-F., Gurcke, T., & Wachsmuth, H. (2021). Belief-based
Generation of Argumentative Claims. Proceedings of the 16th Conference of the
European Chapter of the Association for Computational Linguistics: Main Volume,
224–223.'
bibtex: '@inproceedings{Alshomary_Chen_Gurcke_Wachsmuth_2021, title={Belief-based
Generation of Argumentative Claims}, booktitle={Proceedings of the 16th Conference
of the European Chapter of the Association for Computational Linguistics: Main
Volume}, publisher={Association for Computational Linguistics}, author={Alshomary,
Milad and Chen, Wei-Fan and Gurcke, Timon and Wachsmuth, Henning}, year={2021},
pages={224–223} }'
chicago: 'Alshomary, Milad, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. “Belief-Based
Generation of Argumentative Claims.” In Proceedings of the 16th Conference
of the European Chapter of the Association for Computational Linguistics: Main
Volume, 224–223. Association for Computational Linguistics, 2021.'
ieee: 'M. Alshomary, W.-F. Chen, T. Gurcke, and H. Wachsmuth, “Belief-based Generation
of Argumentative Claims,” in Proceedings of the 16th Conference of the European
Chapter of the Association for Computational Linguistics: Main Volume, Online,
2021, pp. 224–223.'
mla: 'Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.”
Proceedings of the 16th Conference of the European Chapter of the Association
for Computational Linguistics: Main Volume, Association for Computational
Linguistics, 2021, pp. 224–223.'
short: 'M. Alshomary, W.-F. Chen, T. Gurcke, H. Wachsmuth, in: Proceedings of the
16th Conference of the European Chapter of the Association for Computational Linguistics:
Main Volume, Association for Computational Linguistics, 2021, pp. 224–223.'
conference:
location: Online
name: 'Proceedings of the 16th Conference of the European Chapter of the Association
for Computational Linguistics: Main Volume'
date_created: 2021-02-05T08:00:07Z
date_updated: 2022-05-09T15:01:53Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2021.eacl-main.17
page: 224-223
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: 'Proceedings of the 16th Conference of the European Chapter of the Association
for Computational Linguistics: Main Volume'
publisher: Association for Computational Linguistics
status: public
title: Belief-based Generation of Argumentative Claims
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '23709'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Khalid
full_name: Al Khatib, Khalid
last_name: Al Khatib
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Chen W-F, Al Khatib K, Stein B, Wachsmuth H. Controlled Neural Sentence-Level
Reframing of News Articles. In: Findings of the Association for Computational
Linguistics: EMNLP 2021. ; 2021:2683-2693.'
apa: 'Chen, W.-F., Al Khatib, K., Stein, B., & Wachsmuth, H. (2021). Controlled
Neural Sentence-Level Reframing of News Articles. Findings of the Association
for Computational Linguistics: EMNLP 2021, 2683–2693.'
bibtex: '@inproceedings{Chen_Al Khatib_Stein_Wachsmuth_2021, title={Controlled Neural
Sentence-Level Reframing of News Articles}, booktitle={Findings of the Association
for Computational Linguistics: EMNLP 2021}, author={Chen, Wei-Fan and Al Khatib,
Khalid and Stein, Benno and Wachsmuth, Henning}, year={2021}, pages={2683–2693}
}'
chicago: 'Chen, Wei-Fan, Khalid Al Khatib, Benno Stein, and Henning Wachsmuth. “Controlled
Neural Sentence-Level Reframing of News Articles.” In Findings of the Association
for Computational Linguistics: EMNLP 2021, 2683–93, 2021.'
ieee: 'W.-F. Chen, K. Al Khatib, B. Stein, and H. Wachsmuth, “Controlled Neural
Sentence-Level Reframing of News Articles,” in Findings of the Association
for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.'
mla: 'Chen, Wei-Fan, et al. “Controlled Neural Sentence-Level Reframing of News
Articles.” Findings of the Association for Computational Linguistics: EMNLP
2021, 2021, pp. 2683–93.'
short: 'W.-F. Chen, K. Al Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association
for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.'
date_created: 2021-09-02T20:09:20Z
date_updated: 2022-05-09T15:00:09Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.findings-emnlp.228.pdf
page: 2683 - 2693
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: 'Findings of the Association for Computational Linguistics: EMNLP 2021'
status: public
title: Controlled Neural Sentence-Level Reframing of News Articles
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '22229'
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Alshomary M, Syed S, Potthast M, Wachsmuth H. Argument Undermining: Counter-Argument
Generation by Attacking Weak Premises. In: Proceedings of the Joint Conference
of the 59th Annual Meeting of the Association for Computational Linguistics and
the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP
2021). Findings of the Association for Computational Linguistics: ACL-IJCNLP
2021. Association for Computational Linguistics; 2021:1816–1827. doi:10.18653/v1/2021.findings-acl.159'
apa: 'Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2021). Argument
Undermining: Counter-Argument Generation by Attacking Weak Premises. Proceedings
of the Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021), 1816–1827. https://doi.org/10.18653/v1/2021.findings-acl.159'
bibtex: '@inproceedings{Alshomary_Syed_Potthast_Wachsmuth_2021, series={Findings
of the Association for Computational Linguistics: ACL-IJCNLP 2021}, title={Argument
Undermining: Counter-Argument Generation by Attacking Weak Premises}, DOI={10.18653/v1/2021.findings-acl.159},
booktitle={Proceedings of the Joint Conference of the 59th Annual Meeting of the
Association for Computational Linguistics and the 11th International Joint Conference
on Natural Language Processing (ACL-IJCNLP 2021)}, publisher={Association for
Computational Linguistics}, author={Alshomary, Milad and Syed, Shahbaz and Potthast,
Martin and Wachsmuth, Henning}, year={2021}, pages={1816–1827}, collection={Findings
of the Association for Computational Linguistics: ACL-IJCNLP 2021} }'
chicago: 'Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth.
“Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.”
In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association
for Computational Linguistics and the 11th International Joint Conference on Natural
Language Processing (ACL-IJCNLP 2021), 1816–1827. Findings of the Association
for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational
Linguistics, 2021. https://doi.org/10.18653/v1/2021.findings-acl.159.'
ieee: 'M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Argument Undermining:
Counter-Argument Generation by Attacking Weak Premises,” in Proceedings of
the Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021), Online, 2021, pp. 1816–1827, doi: 10.18653/v1/2021.findings-acl.159.'
mla: 'Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation
by Attacking Weak Premises.” Proceedings of the Joint Conference of the 59th
Annual Meeting of the Association for Computational Linguistics and the 11th International
Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association
for Computational Linguistics, 2021, pp. 1816–1827, doi:10.18653/v1/2021.findings-acl.159.'
short: 'M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of the
Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021), Association for Computational Linguistics, 2021, pp. 1816–1827.'
conference:
location: Online
name: The Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021)
date_created: 2021-05-26T07:06:18Z
date_updated: 2022-05-09T15:06:36Z
department:
- _id: '600'
doi: 10.18653/v1/2021.findings-acl.159
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.findings-acl.159.pdf
page: 1816–1827
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the Joint Conference of the 59th Annual Meeting of the
Association for Computational Linguistics and the 11th International Joint Conference
on Natural Language Processing (ACL-IJCNLP 2021)
publisher: Association for Computational Linguistics
series_title: 'Findings of the Association for Computational Linguistics: ACL-IJCNLP
2021'
status: public
title: 'Argument Undermining: Counter-Argument Generation by Attacking Weak Premises'
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '45788'
author:
- first_name: Jonas
full_name: Bülling, Jonas
last_name: Bülling
citation:
ama: 'Bülling J. Political Speaker Transfer: Learning to Generate Text in the
Styles of Barack Obama and Donald Trump.; 2021.'
apa: 'Bülling, J. (2021). Political Speaker Transfer: Learning to Generate Text
in the Styles of Barack Obama and Donald Trump.'
bibtex: '@book{Bülling_2021, title={Political Speaker Transfer: Learning to Generate
Text in the Styles of Barack Obama and Donald Trump}, author={Bülling, Jonas},
year={2021} }'
chicago: 'Bülling, Jonas. Political Speaker Transfer: Learning to Generate Text
in the Styles of Barack Obama and Donald Trump, 2021.'
ieee: 'J. Bülling, Political Speaker Transfer: Learning to Generate Text in the
Styles of Barack Obama and Donald Trump. 2021.'
mla: 'Bülling, Jonas. Political Speaker Transfer: Learning to Generate Text in
the Styles of Barack Obama and Donald Trump. 2021.'
short: 'J. Bülling, Political Speaker Transfer: Learning to Generate Text in the
Styles of Barack Obama and Donald Trump, 2021.'
date_created: 2023-06-27T12:54:30Z
date_updated: 2023-07-05T07:32:18Z
department:
- _id: '600'
language:
- iso: eng
project:
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
status: public
supervisor:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
title: 'Political Speaker Transfer: Learning to Generate Text in the Styles of Barack
Obama and Donald Trump'
type: mastersthesis
user_id: '477'
year: '2021'
...
---
_id: '45787'
author:
- first_name: Avishek
full_name: Mishra, Avishek
last_name: Mishra
citation:
ama: Mishra A. Computational Text Professionalization Using Neural Sequence-to-Sequence
Models.; 2021.
apa: Mishra, A. (2021). Computational Text Professionalization using Neural Sequence-to-Sequence
Models.
bibtex: '@book{Mishra_2021, title={Computational Text Professionalization using
Neural Sequence-to-Sequence Models}, author={Mishra, Avishek}, year={2021} }'
chicago: Mishra, Avishek. Computational Text Professionalization Using Neural
Sequence-to-Sequence Models, 2021.
ieee: A. Mishra, Computational Text Professionalization using Neural Sequence-to-Sequence
Models. 2021.
mla: Mishra, Avishek. Computational Text Professionalization Using Neural Sequence-to-Sequence
Models. 2021.
short: A. Mishra, Computational Text Professionalization Using Neural Sequence-to-Sequence
Models, 2021.
date_created: 2023-06-27T12:51:08Z
date_updated: 2023-07-05T07:32:50Z
department:
- _id: '600'
language:
- iso: eng
project:
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
status: public
supervisor:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
title: Computational Text Professionalization using Neural Sequence-to-Sequence Models
type: mastersthesis
user_id: '477'
year: '2021'
...
---
_id: '17347'
abstract:
- lang: eng
text: Peer-to-Peer news portals allow Internet users to write news articles and
make them available online to interested readers. Despite the fact that authors
are free in their choice of topics, there are a number of quality characteristics
that an article must meet before it is published. In addition to meaningful titles,
comprehensibly written texts and meaning- ful images, relevant tags are an important
criteria for the quality of such news. In this case study, we discuss the challenges
and common mistakes that Peer-to-Peer reporters face when tagging news and how
incorrect information can be corrected through the orchestration of existing Natu-
ral Language Processing services. Lastly, we use this illustrative example to
give insight into the challenges of dealing with bottom-up taxonomies.
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Bianca
full_name: Buff, Bianca
last_name: Buff
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Bäumer FS, Kersting J, Buff B, Geierhos M. Tag Me If You Can: Insights into
the Challenges of Supporting Unrestricted P2P News Tagging. In: Audrius L, Rita
B, Daina G, Vilma S, eds. Information and Software Technologies. Vol 1283.
Communications in Computer and Information Science. Springer; 2020:368--382. doi:https://doi.org/10.1007/978-3-030-59506-7_30'
apa: 'Bäumer, F. S., Kersting, J., Buff, B., & Geierhos, M. (2020). Tag Me If
You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging.
In L. Audrius, B. Rita, G. Daina, & S. Vilma (Eds.), Information and Software
Technologies (Vol. 1283, pp. 368--382). Kaunas, Litauen: Springer. https://doi.org/10.1007/978-3-030-59506-7_30'
bibtex: '@inbook{Bäumer_Kersting_Buff_Geierhos_2020, series={Communications in Computer
and Information Science}, title={Tag Me If You Can: Insights into the Challenges
of Supporting Unrestricted P2P News Tagging}, volume={1283}, DOI={https://doi.org/10.1007/978-3-030-59506-7_30},
booktitle={Information and Software Technologies}, publisher={Springer}, author={Bäumer,
Frederik Simon and Kersting, Joschka and Buff, Bianca and Geierhos, Michaela},
editor={Audrius, Lopata and Rita, Butkienė and Daina, Gudonienė and Vilma, SukackėEditors},
year={2020}, pages={368--382}, collection={Communications in Computer and Information
Science} }'
chicago: 'Bäumer, Frederik Simon, Joschka Kersting, Bianca Buff, and Michaela Geierhos.
“Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P
News Tagging.” In Information and Software Technologies, edited by Lopata
Audrius, Butkienė Rita, Gudonienė Daina, and Sukackė Vilma, 1283:368--382. Communications
in Computer and Information Science. Springer, 2020. https://doi.org/10.1007/978-3-030-59506-7_30.'
ieee: 'F. S. Bäumer, J. Kersting, B. Buff, and M. Geierhos, “Tag Me If You Can:
Insights into the Challenges of Supporting Unrestricted P2P News Tagging,” in
Information and Software Technologies, vol. 1283, L. Audrius, B. Rita,
G. Daina, and S. Vilma, Eds. Springer, 2020, pp. 368--382.'
mla: 'Bäumer, Frederik Simon, et al. “Tag Me If You Can: Insights into the Challenges
of Supporting Unrestricted P2P News Tagging.” Information and Software Technologies,
edited by Lopata Audrius et al., vol. 1283, Springer, 2020, pp. 368--382, doi:https://doi.org/10.1007/978-3-030-59506-7_30.'
short: 'F.S. Bäumer, J. Kersting, B. Buff, M. Geierhos, in: L. Audrius, B. Rita,
G. Daina, S. Vilma (Eds.), Information and Software Technologies, Springer, 2020,
pp. 368--382.'
conference:
end_date: 2020-10-17
location: Kaunas, Litauen
name: 26th International Conference on Information and Software Technologies (ICIST
2020)
start_date: 2020-10-15
date_created: 2020-06-26T14:23:52Z
date_updated: 2022-01-06T06:53:08Z
ddc:
- '004'
department:
- _id: '579'
- _id: '1'
- _id: '36'
doi: https://doi.org/10.1007/978-3-030-59506-7_30
editor:
- first_name: Lopata
full_name: Audrius, Lopata
last_name: Audrius
- first_name: Butkienė
full_name: Rita, Butkienė
last_name: Rita
- first_name: Gudonienė
full_name: Daina, Gudonienė
last_name: Daina
- first_name: Sukackė
full_name: Vilma, Sukackė
last_name: Vilma
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-11-07T19:47:30Z
date_updated: 2020-11-07T19:47:30Z
file_id: '20309'
file_name: Bäumer et al. (2020), Baeumer2020.pdf .pdf
file_size: 599881
relation: main_file
success: 1
file_date_updated: 2020-11-07T19:47:30Z
has_accepted_license: '1'
intvolume: ' 1283'
language:
- iso: eng
page: 368--382
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Information and Software Technologies
publication_status: published
publisher: Springer
series_title: Communications in Computer and Information Science
status: public
title: 'Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted
P2P News Tagging'
type: book_chapter
user_id: '58701'
volume: 1283
year: '2020'
...
---
_id: '18686'
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
citation:
ama: 'Kersting J, Bäumer FS. SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED
APPROACH. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING
2020. IADIS; 2020:119--123.'
apa: 'Kersting, J., & Bäumer, F. S. (2020). SEMANTIC TAGGING OF REQUIREMENT
DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. PROCEEDINGS OF THE INTERNATIONAL
CONFERENCE ON APPLIED COMPUTING 2020, 119--123.'
bibtex: '@inproceedings{Kersting_Bäumer_2020, title={SEMANTIC TAGGING OF REQUIREMENT
DESCRIPTIONS: A TRANSFORMER-BASED APPROACH}, booktitle={PROCEEDINGS OF THE INTERNATIONAL
CONFERENCE ON APPLIED COMPUTING 2020}, publisher={IADIS}, author={Kersting, Joschka
and Bäumer, Frederik Simon}, year={2020}, pages={119--123} }'
chicago: 'Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT
DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” In PROCEEDINGS OF THE INTERNATIONAL
CONFERENCE ON APPLIED COMPUTING 2020, 119--123. IADIS, 2020.'
ieee: 'J. Kersting and F. S. Bäumer, “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS:
A TRANSFORMER-BASED APPROACH,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCE
ON APPLIED COMPUTING 2020, Lisbon, Portugal, 2020, pp. 119--123.'
mla: 'Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT
DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” PROCEEDINGS OF THE INTERNATIONAL
CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.'
short: 'J. Kersting, F.S. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE
ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.'
conference:
end_date: 20.11.2020
location: Lisbon, Portugal
name: 17th International Conference on Applied Computing
start_date: 18.11.2020
date_created: 2020-08-31T10:59:54Z
date_updated: 2022-01-06T06:53:51Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-11-19T17:29:03Z
date_updated: 2020-11-19T17:29:03Z
file_id: '20443'
file_name: Kersting & Bäumer (2020), Kersting2020d.pdf
file_size: 1064877
relation: main_file
success: 1
file_date_updated: 2020-11-19T17:29:03Z
has_accepted_license: '1'
keyword:
- Software Requirements
- Natural Language Processing
- Transfer Learning
- On-The-Fly Computing
language:
- iso: eng
page: 119--123
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020
publisher: IADIS
status: public
title: 'SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH'
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '15580'
abstract:
- lang: eng
text: This paper deals with aspect phrase extraction and classification in sentiment
analysis. We summarize current approaches and datasets from the domain of aspect-based
sentiment analysis. This domain detects sentiments expressed for individual aspects
in unstructured text data. So far, mainly commercial user reviews for products
or services such as restaurants were investigated. We here present our dataset
consisting of German physician reviews, a sensitive and linguistically complex
field. Furthermore, we describe the annotation process of a dataset for supervised
learning with neural networks. Moreover, we introduce our model for extracting
and classifying aspect phrases in one step, which obtains an F1-score of 80%.
By applying it to a more complex domain, our approach and results outperform previous
approaches.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Geierhos M. Aspect Phrase Extraction in Sentiment Analysis with
Deep Learning. In: Proceedings of the 12th International Conference on Agents
and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language
Processing in Artificial Intelligence (NLPinAI 2020). Setúbal, Portugal: SCITEPRESS;
2020:391--400.'
apa: 'Kersting, J., & Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment
Analysis with Deep Learning. In Proceedings of the 12th International Conference
on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020) (pp. 391--400).
Setúbal, Portugal: SCITEPRESS.'
bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={Aspect
Phrase Extraction in Sentiment Analysis with Deep Learning}, booktitle={Proceedings
of the 12th International Conference on Agents and Artificial Intelligence (ICAART
2020) -- Special Session on Natural Language Processing in Artificial Intelligence
(NLPinAI 2020)}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos,
Michaela}, year={2020}, pages={391--400} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in
Sentiment Analysis with Deep Learning.” In Proceedings of the 12th International
Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session
on Natural Language Processing in Artificial Intelligence (NLPinAI 2020),
391--400. Setúbal, Portugal: SCITEPRESS, 2020.'
ieee: J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis
with Deep Learning,” in Proceedings of the 12th International Conference on
Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020), Valetta, Malta,
2020, pp. 391--400.
mla: Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment
Analysis with Deep Learning.” Proceedings of the 12th International Conference
on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS,
2020, pp. 391--400.
short: 'J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference
on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal,
Portugal, 2020, pp. 391--400.'
conference:
location: Valetta, Malta
name: International Conference on Agents and Artificial Intelligence (ICAART) -- Special
Session on Natural Language Processing in Artificial Intelligence (NLPinAI)
date_created: 2020-01-15T08:35:07Z
date_updated: 2022-01-06T06:52:29Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:27:00Z
date_updated: 2020-09-18T09:27:00Z
file_id: '19576'
file_name: Kersting & Geierhos (2020), Kersting2020.pdf
file_size: 421780
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:27:00Z
has_accepted_license: '1'
keyword:
- Deep Learning
- Natural Language Processing
- Aspect-based Sentiment Analysis
language:
- iso: eng
page: 391--400
place: Setúbal, Portugal
project:
- _id: '3'
name: SFB 901 - Project Area B
- _id: '1'
name: SFB 901
- _id: '9'
name: SFB 901 - Subproject B1
publication: Proceedings of the 12th International Conference on Agents and Artificial
Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in
Artificial Intelligence (NLPinAI 2020)
publisher: SCITEPRESS
status: public
title: Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '15582'
abstract:
- lang: eng
text: When it comes to increased digitization in the health care domain, privacy
is a relevant topic nowadays. This relates to patient data, electronic health
records or physician reviews published online, for instance. There exist different
approaches to the protection of individuals’ privacy, which focus on the anonymization
and masking of personal information subsequent to their mining. In the medical
domain in particular, measures to protect the privacy of patients are of high
importance due to the amount of sensitive data that is involved (e.g. age, gender,
illnesses, medication). While privacy breaches in structured data can be detected
more easily, disclosure in written texts is more difficult to find automatically
due to the unstructured nature of natural language. Therefore, we take a detailed
look at existing research on areas related to privacy protection. Likewise, we
review approaches to the automatic detection of privacy disclosure in different
types of medical data. We provide a survey of several studies concerned with privacy
breaches in the medical domain with a focus on Physician Review Websites (PRWs).
Finally, we briefly develop implications and directions for further research.
author:
- first_name: Bianca
full_name: Buff, Bianca
last_name: Buff
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Buff B, Kersting J, Geierhos M. Detection of Privacy Disclosure in the Medical
Domain: A Survey. In: Proceedings of the 9th International Conference on Pattern
Recognition Applications and Methods (ICPRAM 2020). Setúbal, Portugal: SCITEPRESS;
2020:630--637.'
apa: 'Buff, B., Kersting, J., & Geierhos, M. (2020). Detection of Privacy Disclosure
in the Medical Domain: A Survey. In Proceedings of the 9th International Conference
on Pattern Recognition Applications and Methods (ICPRAM 2020) (pp. 630--637).
Setúbal, Portugal: SCITEPRESS.'
bibtex: '@inproceedings{Buff_Kersting_Geierhos_2020, place={Setúbal, Portugal},
title={Detection of Privacy Disclosure in the Medical Domain: A Survey}, booktitle={Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods
(ICPRAM 2020)}, publisher={SCITEPRESS}, author={Buff, Bianca and Kersting, Joschka
and Geierhos, Michaela}, year={2020}, pages={630--637} }'
chicago: 'Buff, Bianca, Joschka Kersting, and Michaela Geierhos. “Detection of Privacy
Disclosure in the Medical Domain: A Survey.” In Proceedings of the 9th International
Conference on Pattern Recognition Applications and Methods (ICPRAM 2020),
630--637. Setúbal, Portugal: SCITEPRESS, 2020.'
ieee: 'B. Buff, J. Kersting, and M. Geierhos, “Detection of Privacy Disclosure in
the Medical Domain: A Survey,” in Proceedings of the 9th International Conference
on Pattern Recognition Applications and Methods (ICPRAM 2020), Valetta, Malta,
2020, pp. 630--637.'
mla: 'Buff, Bianca, et al. “Detection of Privacy Disclosure in the Medical Domain:
A Survey.” Proceedings of the 9th International Conference on Pattern Recognition
Applications and Methods (ICPRAM 2020), SCITEPRESS, 2020, pp. 630--637.'
short: 'B. Buff, J. Kersting, M. Geierhos, in: Proceedings of the 9th International
Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS,
Setúbal, Portugal, 2020, pp. 630--637.'
conference:
location: Valetta, Malta
name: International Conference on Pattern Recognition Applications and Methods (ICPRAM)
date_created: 2020-01-15T08:49:25Z
date_updated: 2022-01-06T06:52:30Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:25:30Z
date_updated: 2020-09-18T09:25:30Z
file_id: '19574'
file_name: Buff et al. (2020), Buff2020.pdf
file_size: 287956
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:25:30Z
has_accepted_license: '1'
keyword:
- Identity Disclosure
- Privacy Protection
- Physician Review Website
- De-Anonymization
- Medical Domain
language:
- iso: eng
page: 630--637
place: Setúbal, Portugal
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Proceedings of the 9th International Conference on Pattern Recognition
Applications and Methods (ICPRAM 2020)
publisher: SCITEPRESS
status: public
title: 'Detection of Privacy Disclosure in the Medical Domain: A Survey'
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '15635'
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Geierhos M. Neural Learning for Aspect Phrase Extraction and Classification
in Sentiment Analysis. In: Proceedings of the 33rd International Florida Artificial
Intelligence Research Symposium (FLAIRS) Conference. North Miami Beach, FL,
USA: AAAI; 2020:282--285.'
apa: 'Kersting, J., & Geierhos, M. (2020). Neural Learning for Aspect Phrase
Extraction and Classification in Sentiment Analysis. In Proceedings of the
33rd International Florida Artificial Intelligence Research Symposium (FLAIRS)
Conference (pp. 282--285). North Miami Beach, FL, USA: AAAI.'
bibtex: '@inproceedings{Kersting_Geierhos_2020, place={North Miami Beach, FL, USA},
title={Neural Learning for Aspect Phrase Extraction and Classification in Sentiment
Analysis}, booktitle={Proceedings of the 33rd International Florida Artificial
Intelligence Research Symposium (FLAIRS) Conference}, publisher={AAAI}, author={Kersting,
Joschka and Geierhos, Michaela}, year={2020}, pages={282--285} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect
Phrase Extraction and Classification in Sentiment Analysis.” In Proceedings
of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS)
Conference, 282--285. North Miami Beach, FL, USA: AAAI, 2020.'
ieee: J. Kersting and M. Geierhos, “Neural Learning for Aspect Phrase Extraction
and Classification in Sentiment Analysis,” in Proceedings of the 33rd International
Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, North
Miami Beach, FL, USA, 2020, pp. 282--285.
mla: Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect Phrase
Extraction and Classification in Sentiment Analysis.” Proceedings of the 33rd
International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference,
AAAI, 2020, pp. 282--285.
short: 'J. Kersting, M. Geierhos, in: Proceedings of the 33rd International Florida
Artificial Intelligence Research Symposium (FLAIRS) Conference, AAAI, North Miami
Beach, FL, USA, 2020, pp. 282--285.'
conference:
end_date: 2020-05-20
location: North Miami Beach, FL, USA
name: The 33rd International Florida Artificial Intelligence Research Symposium
(FLAIRS) Conference
start_date: 2020-05-17
date_created: 2020-01-24T09:10:09Z
date_updated: 2022-01-06T06:52:31Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:39:08Z
date_updated: 2020-09-18T09:39:08Z
file_id: '19582'
file_name: Kersting & Geierhos (2020b), Kersting2020b.pdf
file_size: 464976
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:39:08Z
has_accepted_license: '1'
language:
- iso: eng
page: 282--285
place: North Miami Beach, FL, USA
project:
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
- _id: '1'
name: SFB 901
publication: Proceedings of the 33rd International Florida Artificial Intelligence
Research Symposium (FLAIRS) Conference
publisher: AAAI
status: public
title: Neural Learning for Aspect Phrase Extraction and Classification in Sentiment
Analysis
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '15025'
abstract:
- lang: eng
text: In software engineering, the imprecise requirements of a user are transformed
to a formal requirements specification during the requirements elicitation process.
This process is usually guided by requirements engineers interviewing the user.
We want to partially automate this first step of the software engineering process
in order to enable users to specify a desired software system on their own. With
our approach, users are only asked to provide exemplary behavioral descriptions.
The problem of synthesizing a requirements specification from examples can partially
be reduced to the problem of grammatical inference, to which we apply an active
coevolutionary learning approach. However, this approach would usually require
many feedback queries to be sent to the user. In this work, we extend and generalize
our active learning approach to receive knowledge from multiple oracles, also
known as proactive learning. The ‘user oracle’ represents input received from
the user and the ‘knowledge oracle’ represents available, formalized domain knowledge.
We call our two-oracle approach the ‘first apply knowledge then query’ (FAKT/Q)
algorithm. We compare FAKT/Q to the active learning approach and provide an extensive
benchmark evaluation. As result we find that the number of required user queries
is reduced and the inference process is sped up significantly. Finally, with so-called
On-The-Fly Markets, we present a motivation and an application of our approach
where such knowledge is available.
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Lorijn
full_name: van Rooijen, Lorijn
id: '58843'
last_name: van Rooijen
- first_name: Heiko
full_name: Hamann, Heiko
last_name: Hamann
citation:
ama: Wever MD, van Rooijen L, Hamann H. Multi-Oracle Coevolutionary Learning of
Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary
Computation. 2020;28(2):165–193. doi:10.1162/evco_a_00266
apa: Wever, M. D., van Rooijen, L., & Hamann, H. (2020). Multi-Oracle Coevolutionary
Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary
Computation, 28(2), 165–193. https://doi.org/10.1162/evco_a_00266
bibtex: '@article{Wever_van Rooijen_Hamann_2020, title={Multi-Oracle Coevolutionary
Learning of Requirements Specifications from Examples in On-The-Fly Markets},
volume={28}, DOI={10.1162/evco_a_00266},
number={2}, journal={Evolutionary Computation}, publisher={MIT Press Journals},
author={Wever, Marcel Dominik and van Rooijen, Lorijn and Hamann, Heiko}, year={2020},
pages={165–193} }'
chicago: 'Wever, Marcel Dominik, Lorijn van Rooijen, and Heiko Hamann. “Multi-Oracle
Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly
Markets.” Evolutionary Computation 28, no. 2 (2020): 165–193. https://doi.org/10.1162/evco_a_00266.'
ieee: 'M. D. Wever, L. van Rooijen, and H. Hamann, “Multi-Oracle Coevolutionary
Learning of Requirements Specifications from Examples in On-The-Fly Markets,”
Evolutionary Computation, vol. 28, no. 2, pp. 165–193, 2020, doi: 10.1162/evco_a_00266.'
mla: Wever, Marcel Dominik, et al. “Multi-Oracle Coevolutionary Learning of Requirements
Specifications from Examples in On-The-Fly Markets.” Evolutionary Computation,
vol. 28, no. 2, MIT Press Journals, 2020, pp. 165–193, doi:10.1162/evco_a_00266.
short: M.D. Wever, L. van Rooijen, H. Hamann, Evolutionary Computation 28 (2020)
165–193.
date_created: 2019-11-18T14:19:19Z
date_updated: 2022-01-06T06:52:15Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
- _id: '63'
- _id: '238'
doi: 10.1162/evco_a_00266
intvolume: ' 28'
issue: '2'
language:
- iso: eng
page: 165–193
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Evolutionary Computation
publication_status: published
publisher: MIT Press Journals
related_material:
link:
- relation: confirmation
url: https://www.mitpressjournals.org/doi/pdf/10.1162/evco_a_00266
status: public
title: Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples
in On-The-Fly Markets
type: journal_article
user_id: '15415'
volume: 28
year: '2020'
...
---
_id: '15256'
abstract:
- lang: eng
text: This paper deals with online customer reviews of local multi-service providers.
While many studies investigate product reviews and online labour markets with
service providers delivering intangible products “over the wire”, we focus on
websites where providers offer multiple distinct services that can be booked,
paid and reviewed online but are performed locally offline. This type of service
providers has so far been neglected in the literature. This paper analyses reviews
and applies sentiment analysis. It aims to gain new insights into local multi-service
providers’ performance. There is a broad literature range presented with regard
to the topics addressed. The results show, among other things, that providers
with good ratings continue to perform well over time. We find that many positive
reviews seem to encourage sales. On average, quantitative star ratings and qualitative
ratings in the form of review texts match. Further results are also achieved in
this study.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Geierhos M. What Reviews in Local Online Labour Markets Reveal
about the Performance of Multi-Service Providers. In: Proceedings of the 9th
International Conference on Pattern Recognition Applications and Methods.
Setúbal, Portugal: SCITEPRESS; 2020:263--272.'
apa: 'Kersting, J., & Geierhos, M. (2020). What Reviews in Local Online Labour
Markets Reveal about the Performance of Multi-Service Providers. In Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods
(pp. 263--272). Setúbal, Portugal: SCITEPRESS.'
bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={What
Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service
Providers}, booktitle={Proceedings of the 9th International Conference on Pattern
Recognition Applications and Methods}, publisher={SCITEPRESS}, author={Kersting,
Joschka and Geierhos, Michaela}, year={2020}, pages={263--272} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online
Labour Markets Reveal about the Performance of Multi-Service Providers.” In Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods,
263--272. Setúbal, Portugal: SCITEPRESS, 2020.'
ieee: J. Kersting and M. Geierhos, “What Reviews in Local Online Labour Markets
Reveal about the Performance of Multi-Service Providers,” in Proceedings of
the 9th International Conference on Pattern Recognition Applications and Methods,
Valetta, Malta, 2020, pp. 263--272.
mla: Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour
Markets Reveal about the Performance of Multi-Service Providers.” Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods,
SCITEPRESS, 2020, pp. 263--272.
short: 'J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference
on Pattern Recognition Applications and Methods, SCITEPRESS, Setúbal, Portugal,
2020, pp. 263--272.'
conference:
location: Valetta, Malta
name: International Conference on Pattern Recognition Applications and Methods (ICPRAM)
date_created: 2019-12-06T13:09:42Z
date_updated: 2022-01-06T06:52:19Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:27:41Z
date_updated: 2020-09-18T09:27:41Z
file_id: '19577'
file_name: Kersting & Geierhos (2020c), Kersting2020c.pdf
file_size: 963370
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:27:41Z
has_accepted_license: '1'
keyword:
- Customer Reviews
- Sentiment Analysis
- Online Labour Markets
language:
- iso: eng
page: 263--272
place: Setúbal, Portugal
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Proceedings of the 9th International Conference on Pattern Recognition
Applications and Methods
publisher: SCITEPRESS
status: public
title: What Reviews in Local Online Labour Markets Reveal about the Performance of
Multi-Service Providers
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '13770'
author:
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
citation:
ama: 'Karl H, Kundisch D, Meyer auf der Heide F, Wehrheim H. A Case for a New IT
Ecosystem: On-The-Fly Computing. Business & Information Systems Engineering.
2020;62(6):467-481. doi:10.1007/s12599-019-00627-x'
apa: 'Karl, H., Kundisch, D., Meyer auf der Heide, F., & Wehrheim, H. (2020).
A Case for a New IT Ecosystem: On-The-Fly Computing. Business & Information
Systems Engineering, 62(6), 467–481. https://doi.org/10.1007/s12599-019-00627-x'
bibtex: '@article{Karl_Kundisch_Meyer auf der Heide_Wehrheim_2020, title={A Case
for a New IT Ecosystem: On-The-Fly Computing}, volume={62}, DOI={10.1007/s12599-019-00627-x},
number={6}, journal={Business & Information Systems Engineering}, publisher={Springer},
author={Karl, Holger and Kundisch, Dennis and Meyer auf der Heide, Friedhelm and
Wehrheim, Heike}, year={2020}, pages={467–481} }'
chicago: 'Karl, Holger, Dennis Kundisch, Friedhelm Meyer auf der Heide, and Heike
Wehrheim. “A Case for a New IT Ecosystem: On-The-Fly Computing.” Business &
Information Systems Engineering 62, no. 6 (2020): 467–81. https://doi.org/10.1007/s12599-019-00627-x.'
ieee: 'H. Karl, D. Kundisch, F. Meyer auf der Heide, and H. Wehrheim, “A Case for
a New IT Ecosystem: On-The-Fly Computing,” Business & Information Systems
Engineering, vol. 62, no. 6, pp. 467–481, 2020, doi: 10.1007/s12599-019-00627-x.'
mla: 'Karl, Holger, et al. “A Case for a New IT Ecosystem: On-The-Fly Computing.”
Business & Information Systems Engineering, vol. 62, no. 6, Springer,
2020, pp. 467–81, doi:10.1007/s12599-019-00627-x.'
short: H. Karl, D. Kundisch, F. Meyer auf der Heide, H. Wehrheim, Business &
Information Systems Engineering 62 (2020) 467–481.
date_created: 2019-10-10T13:41:06Z
date_updated: 2022-12-02T09:27:17Z
ddc:
- '004'
department:
- _id: '276'
- _id: '75'
- _id: '63'
- _id: '77'
doi: 10.1007/s12599-019-00627-x
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2019-12-12T10:24:47Z
date_updated: 2019-12-12T10:24:47Z
file_id: '15311'
file_name: Karl2019_Article_ACaseForANewITEcosystemOn-The-.pdf
file_size: 454532
relation: main_file
success: 1
file_date_updated: 2019-12-12T10:24:47Z
has_accepted_license: '1'
intvolume: ' 62'
issue: '6'
language:
- iso: eng
page: 467-481
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '3'
name: SFB 901 - Project Area B
- _id: '4'
name: SFB 901 - Project Area C
- _id: '82'
name: SFB 901 - Project Area T
- _id: '5'
name: SFB 901 - Subproject A1
- _id: '6'
name: SFB 901 - Subproject A2
- _id: '7'
name: SFB 901 - Subproject A3
- _id: '8'
name: SFB 901 - Subproject A4
- _id: '9'
name: SFB 901 - Subproject B1
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '11'
name: SFB 901 - Subproject B3
- _id: '12'
name: SFB 901 - Subproject B4
- _id: '13'
name: SFB 901 - Subproject C1
- _id: '14'
name: SFB 901 - Subproject C2
- _id: '15'
name: SFB 901 - Subproject C3
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '17'
name: SFB 901 - Subproject C5
- _id: '83'
name: SFB 901 -Subproject T1
- _id: '84'
name: SFB 901 -Subproject T2
- _id: '107'
name: SFB 901 -Subproject T3
- _id: '158'
name: 'SFB 901 - T4: SFB 901 -Subproject T4'
publication: Business & Information Systems Engineering
publication_status: published
publisher: Springer
status: public
title: 'A Case for a New IT Ecosystem: On-The-Fly Computing'
type: journal_article
user_id: '477'
volume: 62
year: '2020'
...
---
_id: '3776'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Khalid
full_name: Al-Khatib, Khalid
last_name: Al-Khatib
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Chen W-F, Al-Khatib K, Wachsmuth H, Stein B. Analyzing Political Bias and
Unfairness in News Articles at Different Levels of Granularity. In: Proceedings
of the Fourth Workshop on Natural Language Processing and Computational Social
Science. ; 2020:149-154.'
apa: Chen, W.-F., Al-Khatib, K., Wachsmuth, H., & Stein, B. (2020). Analyzing
Political Bias and Unfairness in News Articles at Different Levels of Granularity.
Proceedings of the Fourth Workshop on Natural Language Processing and Computational
Social Science, 149–154.
bibtex: '@inproceedings{Chen_Al-Khatib_Wachsmuth_Stein_2020, title={Analyzing Political
Bias and Unfairness in News Articles at Different Levels of Granularity}, booktitle={Proceedings
of the Fourth Workshop on Natural Language Processing and Computational Social
Science}, author={Chen, Wei-Fan and Al-Khatib, Khalid and Wachsmuth, Henning and
Stein, Benno}, year={2020}, pages={149–154} }'
chicago: Chen, Wei-Fan, Khalid Al-Khatib, Henning Wachsmuth, and Benno Stein. “Analyzing
Political Bias and Unfairness in News Articles at Different Levels of Granularity.”
In Proceedings of the Fourth Workshop on Natural Language Processing and Computational
Social Science, 149–54, 2020.
ieee: W.-F. Chen, K. Al-Khatib, H. Wachsmuth, and B. Stein, “Analyzing Political
Bias and Unfairness in News Articles at Different Levels of Granularity,” in Proceedings
of the Fourth Workshop on Natural Language Processing and Computational Social
Science, 2020, pp. 149–154.
mla: Chen, Wei-Fan, et al. “Analyzing Political Bias and Unfairness in News Articles
at Different Levels of Granularity.” Proceedings of the Fourth Workshop on
Natural Language Processing and Computational Social Science, 2020, pp. 149–54.
short: 'W.-F. Chen, K. Al-Khatib, H. Wachsmuth, B. Stein, in: Proceedings of the
Fourth Workshop on Natural Language Processing and Computational Social Science,
2020, pp. 149–154.'
date_created: 2018-08-02T11:40:56Z
date_updated: 2022-05-09T15:03:31Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.nlpcss-1.16.pdf
page: 149-154
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the Fourth Workshop on Natural Language Processing and
Computational Social Science
status: public
title: Analyzing Political Bias and Unfairness in News Articles at Different Levels
of Granularity
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '20137'
author:
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
citation:
ama: 'Syed S, Chen W-F, Hagen M, Stein B, Wachsmuth H, Potthast M. Task Proposal:
Abstractive Snippet Generation for Web Pages. In: Proceedings of the 13th International
Conference on Natural Language Generation (INLG 2020). ; 2020:237-241.'
apa: 'Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., & Potthast,
M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. Proceedings
of the 13th International Conference on Natural Language Generation (INLG 2020),
237–241.'
bibtex: '@inproceedings{Syed_Chen_Hagen_Stein_Wachsmuth_Potthast_2020, title={Task
Proposal: Abstractive Snippet Generation for Web Pages}, booktitle={Proceedings
of the 13th International Conference on Natural Language Generation (INLG 2020)},
author={Syed, Shahbaz and Chen, Wei-Fan and Hagen, Matthias and Stein, Benno and
Wachsmuth, Henning and Potthast, Martin}, year={2020}, pages={237–241} }'
chicago: 'Syed, Shahbaz, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth,
and Martin Potthast. “Task Proposal: Abstractive Snippet Generation for Web Pages.”
In Proceedings of the 13th International Conference on Natural Language Generation
(INLG 2020), 237–41, 2020.'
ieee: 'S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, and M. Potthast, “Task
Proposal: Abstractive Snippet Generation for Web Pages,” in Proceedings of
the 13th International Conference on Natural Language Generation (INLG 2020),
2020, pp. 237–241.'
mla: 'Syed, Shahbaz, et al. “Task Proposal: Abstractive Snippet Generation for Web
Pages.” Proceedings of the 13th International Conference on Natural Language
Generation (INLG 2020), 2020, pp. 237–41.'
short: 'S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, M. Potthast, in:
Proceedings of the 13th International Conference on Natural Language Generation
(INLG 2020), 2020, pp. 237–241.'
date_created: 2020-10-20T13:00:06Z
date_updated: 2022-05-09T15:03:11Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.inlg-1.30.pdf
page: 237-241
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the 13th International Conference on Natural Language
Generation (INLG 2020)
status: public
title: 'Task Proposal: Abstractive Snippet Generation for Web Pages'
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '3818'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Khalid
full_name: Al-Khatib, Khalid
last_name: Al-Khatib
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Chen W-F, Al-Khatib K, Stein B, Wachsmuth H. Detecting Media Bias in News
Articles using Gaussian Bias Distributions. In: Findings of the Association
for Computational Linguistics: EMNLP 2020. ; 2020:4290-4300.'
apa: 'Chen, W.-F., Al-Khatib, K., Stein, B., & Wachsmuth, H. (2020). Detecting
Media Bias in News Articles using Gaussian Bias Distributions. Findings of
the Association for Computational Linguistics: EMNLP 2020, 4290–4300.'
bibtex: '@inproceedings{Chen_Al-Khatib_Stein_Wachsmuth_2020, title={Detecting Media
Bias in News Articles using Gaussian Bias Distributions}, booktitle={Findings
of the Association for Computational Linguistics: EMNLP 2020}, author={Chen, Wei-Fan
and Al-Khatib, Khalid and Stein, Benno and Wachsmuth, Henning}, year={2020}, pages={4290–4300}
}'
chicago: 'Chen, Wei-Fan, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “Detecting
Media Bias in News Articles Using Gaussian Bias Distributions.” In Findings
of the Association for Computational Linguistics: EMNLP 2020, 4290–4300, 2020.'
ieee: 'W.-F. Chen, K. Al-Khatib, B. Stein, and H. Wachsmuth, “Detecting Media Bias
in News Articles using Gaussian Bias Distributions,” in Findings of the Association
for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.'
mla: 'Chen, Wei-Fan, et al. “Detecting Media Bias in News Articles Using Gaussian
Bias Distributions.” Findings of the Association for Computational Linguistics:
EMNLP 2020, 2020, pp. 4290–300.'
short: 'W.-F. Chen, K. Al-Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association
for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.'
date_created: 2018-08-02T13:38:46Z
date_updated: 2022-05-09T15:00:46Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.findings-emnlp.383.pdf
page: 4290-4300
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: 'Findings of the Association for Computational Linguistics: EMNLP 2020'
status: public
title: Detecting Media Bias in News Articles using Gaussian Bias Distributions
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '15826'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
citation:
ama: 'Chen W-F, Syed S, Stein B, Hagen M, Potthast M. Abstractive Snippet Generation.
In: Proceedings of the Web Conference 2020. ; 2020:1309-1319.'
apa: Chen, W.-F., Syed, S., Stein, B., Hagen, M., & Potthast, M. (2020). Abstractive
Snippet Generation. Proceedings of the Web Conference 2020, 1309–1319.
bibtex: '@inproceedings{Chen_Syed_Stein_Hagen_Potthast_2020, title={Abstractive
Snippet Generation}, booktitle={Proceedings of the Web Conference 2020}, author={Chen,
Wei-Fan and Syed, Shahbaz and Stein, Benno and Hagen, Matthias and Potthast, Martin},
year={2020}, pages={1309–1319} }'
chicago: Chen, Wei-Fan, Shahbaz Syed, Benno Stein, Matthias Hagen, and Martin Potthast.
“Abstractive Snippet Generation.” In Proceedings of the Web Conference 2020,
1309–19, 2020.
ieee: W.-F. Chen, S. Syed, B. Stein, M. Hagen, and M. Potthast, “Abstractive Snippet
Generation,” in Proceedings of the Web Conference 2020, 2020, pp. 1309–1319.
mla: Chen, Wei-Fan, et al. “Abstractive Snippet Generation.” Proceedings of the
Web Conference 2020, 2020, pp. 1309–19.
short: 'W.-F. Chen, S. Syed, B. Stein, M. Hagen, M. Potthast, in: Proceedings of
the Web Conference 2020, 2020, pp. 1309–1319.'
date_created: 2020-02-06T10:51:33Z
date_updated: 2022-05-09T15:03:53Z
department:
- _id: '600'
- _id: '568'
language:
- iso: eng
main_file_link:
- url: https://dl.acm.org/doi/pdf/10.1145/3366423.3380206
page: 1309-1319
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the Web Conference 2020
status: public
title: Abstractive Snippet Generation
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '16868'
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Alshomary M, Syed S, Potthast M, Wachsmuth H. Target Inference in Argument
Conclusion Generation. In: Proceedings of 58th Annual Meeting of the Association
for Computational Linguistics (ACL 2020). Proceedings of 58th Annual Meeting
of the Association for Computational Linguistics. Association for Computational
Linguistics; 2020:4334-4345.'
apa: Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2020). Target Inference
in Argument Conclusion Generation. Proceedings of 58th Annual Meeting of the
Association for Computational Linguistics (ACL 2020), 4334–4345.
bibtex: '@inproceedings{Alshomary_Syed_Potthast_Wachsmuth_2020, series={Proceedings
of 58th Annual Meeting of the Association for Computational Linguistics}, title={Target
Inference in Argument Conclusion Generation}, booktitle={Proceedings of 58th Annual
Meeting of the Association for Computational Linguistics (ACL 2020)}, publisher={Association
for Computational Linguistics}, author={Alshomary, Milad and Syed, Shahbaz and
Potthast, Martin and Wachsmuth, Henning}, year={2020}, pages={4334–4345}, collection={Proceedings
of 58th Annual Meeting of the Association for Computational Linguistics} }'
chicago: Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth.
“Target Inference in Argument Conclusion Generation.” In Proceedings of 58th
Annual Meeting of the Association for Computational Linguistics (ACL 2020),
4334–45. Proceedings of 58th Annual Meeting of the Association for Computational
Linguistics. Association for Computational Linguistics, 2020.
ieee: M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Target Inference in
Argument Conclusion Generation,” in Proceedings of 58th Annual Meeting of the
Association for Computational Linguistics (ACL 2020), Seattle, USA, 2020,
pp. 4334–4345.
mla: Alshomary, Milad, et al. “Target Inference in Argument Conclusion Generation.”
Proceedings of 58th Annual Meeting of the Association for Computational Linguistics
(ACL 2020), Association for Computational Linguistics, 2020, pp. 4334–45.
short: 'M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of 58th
Annual Meeting of the Association for Computational Linguistics (ACL 2020), Association
for Computational Linguistics, 2020, pp. 4334–4345.'
conference:
end_date: 2020.07.10
location: Seattle, USA
name: 58th Annual Meeting of the Association for Computational Linguistics (ACL
2020)
start_date: 2020.07.05
date_created: 2020-04-27T10:11:00Z
date_updated: 2022-05-09T15:06:52Z
ddc:
- '000'
department:
- _id: '600'
- _id: '568'
file:
- access_level: closed
content_type: application/pdf
creator: sile2804
date_created: 2020-05-22T06:41:25Z
date_updated: 2020-05-22T06:41:25Z
file_id: '17054'
file_name: acl20-conclusion-generation-frame.pdf
file_size: 1572275
relation: main_file
success: 1
file_date_updated: 2020-05-22T06:41:25Z
has_accepted_license: '1'
language:
- iso: eng
page: 4334-4345
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of 58th Annual Meeting of the Association for Computational
Linguistics (ACL 2020)
publisher: Association for Computational Linguistics
series_title: Proceedings of 58th Annual Meeting of the Association for Computational
Linguistics
status: public
title: Target Inference in Argument Conclusion Generation
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '8312'
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Bäumer FS, Geierhos M. Requirements Engineering in OTF-Computing. In: Encyclopedia.Pub.
Basel, Switzerland: MDPI; 2019.'
apa: 'Bäumer, F. S., & Geierhos, M. (2019). Requirements Engineering in OTF-Computing.
In encyclopedia.pub. Basel, Switzerland: MDPI.'
bibtex: '@inbook{Bäumer_Geierhos_2019, place={Basel, Switzerland}, title={Requirements
Engineering in OTF-Computing}, booktitle={encyclopedia.pub}, publisher={MDPI},
author={Bäumer, Frederik Simon and Geierhos, Michaela}, year={2019} }'
chicago: 'Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering
in OTF-Computing.” In Encyclopedia.Pub. Basel, Switzerland: MDPI, 2019.'
ieee: 'F. S. Bäumer and M. Geierhos, “Requirements Engineering in OTF-Computing,”
in encyclopedia.pub, Basel, Switzerland: MDPI, 2019.'
mla: Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering in
OTF-Computing.” Encyclopedia.Pub, MDPI, 2019.
short: 'F.S. Bäumer, M. Geierhos, in: Encyclopedia.Pub, MDPI, Basel, Switzerland,
2019.'
date_created: 2019-03-05T08:54:37Z
date_updated: 2022-01-06T07:03:53Z
department:
- _id: '36'
- _id: '1'
- _id: '579'
keyword:
- OTF Computing
- Natural Language Processing
- Requirements Engineering
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://encyclopedia.pub/131
oa: '1'
place: Basel, Switzerland
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: encyclopedia.pub
publication_status: published
publisher: MDPI
quality_controlled: '1'
status: public
title: Requirements Engineering in OTF-Computing
type: encyclopedia_article
user_id: '42496'
year: '2019'
...
---
_id: '8424'
abstract:
- lang: eng
text: 'The vision of On-the-Fly (OTF) Computing is to compose and provide software
services ad hoc, based on requirement descriptions in natural language. Since
non-technical users write their software requirements themselves and in unrestricted
natural language, deficits occur such as inaccuracy and incompleteness. These
deficits are usually met by natural language processing methods, which have to
face special challenges in OTF Computing because maximum automation is the goal.
In this paper, we present current automatic approaches for solving inaccuracies
and incompletenesses in natural language requirement descriptions and elaborate
open challenges. In particular, we will discuss the necessity of domain-specific
resources and show why, despite far-reaching automation, an intelligent and guided
integration of end users into the compensation process is required. In this context,
we present our idea of a chat bot that integrates users into the compensation
process depending on the given circumstances. '
article_number: '22'
article_type: original
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Bäumer FS, Kersting J, Geierhos M. Natural Language Processing in OTF Computing:
Challenges and the Need for Interactive Approaches. Computers. 2019;8(1).
doi:10.3390/computers8010022'
apa: 'Bäumer, F. S., Kersting, J., & Geierhos, M. (2019). Natural Language Processing
in OTF Computing: Challenges and the Need for Interactive Approaches. Computers,
8(1). https://doi.org/10.3390/computers8010022'
bibtex: '@article{Bäumer_Kersting_Geierhos_2019, title={Natural Language Processing
in OTF Computing: Challenges and the Need for Interactive Approaches}, volume={8},
DOI={10.3390/computers8010022},
number={122}, journal={Computers}, publisher={MDPI AG, Basel, Switzerland}, author={Bäumer,
Frederik Simon and Kersting, Joschka and Geierhos, Michaela}, year={2019} }'
chicago: 'Bäumer, Frederik Simon, Joschka Kersting, and Michaela Geierhos. “Natural
Language Processing in OTF Computing: Challenges and the Need for Interactive
Approaches.” Computers 8, no. 1 (2019). https://doi.org/10.3390/computers8010022.'
ieee: 'F. S. Bäumer, J. Kersting, and M. Geierhos, “Natural Language Processing
in OTF Computing: Challenges and the Need for Interactive Approaches,” Computers,
vol. 8, no. 1, 2019.'
mla: 'Bäumer, Frederik Simon, et al. “Natural Language Processing in OTF Computing:
Challenges and the Need for Interactive Approaches.” Computers, vol. 8,
no. 1, 22, MDPI AG, Basel, Switzerland, 2019, doi:10.3390/computers8010022.'
short: F.S. Bäumer, J. Kersting, M. Geierhos, Computers 8 (2019).
conference:
end_date: 2018-10-06
location: Vilnius, Lithuania
name: 24th International Conference on Information and Software Technologies (ICIST
2018)
start_date: 2018-10-04
date_created: 2019-03-06T14:27:28Z
date_updated: 2022-01-06T07:03:55Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10.3390/computers8010022
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:23:34Z
date_updated: 2020-09-18T09:23:34Z
file_id: '19572'
file_name: Bäumer et al. (2019), Baeumer2019.pdf
file_size: 3164523
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:23:34Z
has_accepted_license: '1'
intvolume: ' 8'
issue: '1'
keyword:
- Inaccuracy Detection
- Natural Language Software Requirements
- Chat Bot
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2073-431X/8/1/22/pdf
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Computers
publication_identifier:
issn:
- 2073-431X
publication_status: published
publisher: MDPI AG, Basel, Switzerland
quality_controlled: '1'
status: public
title: 'Natural Language Processing in OTF Computing: Challenges and the Need for
Interactive Approaches'
type: journal_article
user_id: '58701'
volume: 8
year: '2019'
...
---
_id: '13126'
author:
- first_name: Lial
full_name: Khaluf, Lial
last_name: Khaluf
citation:
ama: Khaluf L. Organic Programming of Dynamic Real-Time Applications. Universität
Paderborn; 2019.
apa: Khaluf, L. (2019). Organic Programming of Dynamic Real-Time Applications.
Universität Paderborn.
bibtex: '@book{Khaluf_2019, title={Organic Programming of Dynamic Real-Time Applications},
publisher={Universität Paderborn}, author={Khaluf, Lial}, year={2019} }'
chicago: Khaluf, Lial. Organic Programming of Dynamic Real-Time Applications.
Universität Paderborn, 2019.
ieee: L. Khaluf, Organic Programming of Dynamic Real-Time Applications. Universität
Paderborn, 2019.
mla: Khaluf, Lial. Organic Programming of Dynamic Real-Time Applications.
Universität Paderborn, 2019.
short: L. Khaluf, Organic Programming of Dynamic Real-Time Applications, Universität
Paderborn, 2019.
date_created: 2019-09-03T12:23:44Z
date_updated: 2022-01-06T06:51:28Z
department:
- _id: '7'
- _id: '70'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Franz
full_name: Rammig, Franz
last_name: Rammig
title: Organic Programming of Dynamic Real-Time Applications
type: dissertation
user_id: '477'
year: '2019'
...
---
_id: '13435'
author:
- first_name: Edwin
full_name: Friesen, Edwin
last_name: Friesen
citation:
ama: 'Friesen E. Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis.
Universität Paderborn; 2019.'
apa: 'Friesen, E. (2019). Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis.
Universität Paderborn.'
bibtex: '@book{Friesen_2019, title={Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis},
publisher={Universität Paderborn}, author={Friesen, Edwin}, year={2019} }'
chicago: 'Friesen, Edwin. Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis.
Universität Paderborn, 2019.'
ieee: 'E. Friesen, Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis.
Universität Paderborn, 2019.'
mla: 'Friesen, Edwin. Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis.
Universität Paderborn, 2019.'
short: 'E. Friesen, Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis, Universität
Paderborn, 2019.'
date_created: 2019-09-20T14:58:49Z
date_updated: 2022-01-06T06:51:36Z
department:
- _id: '36'
- _id: '1'
- _id: '579'
language:
- iso: ger
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
title: 'Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation
mittels domänenspezifischer Wissensbasis'
type: bachelorsthesis
user_id: '477'
year: '2019'
...
---
_id: '13259'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Khalid
full_name: Al-Khatib, Khalid
last_name: Al-Khatib
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Chen W-F, Al-Khatib K, Hagen M, Wachsmuth H, Stein B. Unraveling the Search
Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition. In: Proceedings
of the Second Workshop on Natural Language Processing for Internet Freedom.
; 2019:76-82.'
apa: Chen, W.-F., Al-Khatib, K., Hagen, M., Wachsmuth, H., & Stein, B. (2019).
Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon
Acquisition. Proceedings of the Second Workshop on Natural Language Processing
for Internet Freedom, 76–82.
bibtex: '@inproceedings{Chen_Al-Khatib_Hagen_Wachsmuth_Stein_2019, title={Unraveling
the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition},
booktitle={Proceedings of the Second Workshop on Natural Language Processing for
Internet Freedom}, author={Chen, Wei-Fan and Al-Khatib, Khalid and Hagen, Matthias
and Wachsmuth, Henning and Stein, Benno}, year={2019}, pages={76–82} }'
chicago: Chen, Wei-Fan, Khalid Al-Khatib, Matthias Hagen, Henning Wachsmuth, and
Benno Stein. “Unraveling the Search Space of Abusive Language in Wikipedia with
Dynamic Lexicon Acquisition.” In Proceedings of the Second Workshop on Natural
Language Processing for Internet Freedom, 76–82, 2019.
ieee: W.-F. Chen, K. Al-Khatib, M. Hagen, H. Wachsmuth, and B. Stein, “Unraveling
the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition,”
in Proceedings of the Second Workshop on Natural Language Processing for Internet
Freedom, 2019, pp. 76–82.
mla: Chen, Wei-Fan, et al. “Unraveling the Search Space of Abusive Language in Wikipedia
with Dynamic Lexicon Acquisition.” Proceedings of the Second Workshop on Natural
Language Processing for Internet Freedom, 2019, pp. 76–82.
short: 'W.-F. Chen, K. Al-Khatib, M. Hagen, H. Wachsmuth, B. Stein, in: Proceedings
of the Second Workshop on Natural Language Processing for Internet Freedom, 2019,
pp. 76–82.'
date_created: 2019-09-17T14:42:43Z
date_updated: 2022-05-09T15:04:18Z
department:
- _id: '600'
- _id: '568'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/D19-5009.pdf
page: 76-82
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the Second Workshop on Natural Language Processing for
Internet Freedom
status: public
title: Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon
Acquisition
type: conference
user_id: '82920'
year: '2019'
...
---
_id: '2322'
abstract:
- lang: eng
text: "The vision of On-The-Fly Computing is an automatic composition\r\nof existing
software services. Based on natural language software\r\ndescriptions, end users
will receive compositions tailored to their needs.\r\nFor this reason, the quality
of the initial software service description\r\nstrongly determines whether a software
composition really meets the expectations\r\nof end users. In this paper, we expose
open NLP challenges\r\nneeded to be faced for service composition in On-The-Fly
Computing."
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Bäumer FS, Geierhos M. How to Deal with Inaccurate Service Descriptions in
On-The-Fly Computing: Open Challenges. In: Silberztein M, Atigui F, Kornyshova
E, Métais E, Meziane F, eds. Proceedings of the 23rd International Conference
on Natural Language and Information Systems. Vol 10859. Lecture Notes in Computer
Science. Cham, Switzerland: Springer; 2018:509-513. doi:10.1007/978-3-319-91947-8_53'
apa: 'Bäumer, F. S., & Geierhos, M. (2018). How to Deal with Inaccurate Service
Descriptions in On-The-Fly Computing: Open Challenges. In M. Silberztein, F. Atigui,
E. Kornyshova, E. Métais, & F. Meziane (Eds.), Proceedings of the 23rd
International Conference on Natural Language and Information Systems (Vol.
10859, pp. 509–513). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-91947-8_53'
bibtex: '@inbook{Bäumer_Geierhos_2018, place={Cham, Switzerland}, series={Lecture
Notes in Computer Science}, title={How to Deal with Inaccurate Service Descriptions
in On-The-Fly Computing: Open Challenges}, volume={10859}, DOI={10.1007/978-3-319-91947-8_53},
booktitle={Proceedings of the 23rd International Conference on Natural Language
and Information Systems}, publisher={Springer}, author={Bäumer, Frederik Simon
and Geierhos, Michaela}, editor={Silberztein, Max and Atigui, Faten and Kornyshova,
Elena and Métais, Elisabeth and Meziane, Farid Editors}, year={2018}, pages={509–513},
collection={Lecture Notes in Computer Science} }'
chicago: 'Bäumer, Frederik Simon, and Michaela Geierhos. “How to Deal with Inaccurate
Service Descriptions in On-The-Fly Computing: Open Challenges.” In Proceedings
of the 23rd International Conference on Natural Language and Information Systems,
edited by Max Silberztein, Faten Atigui, Elena Kornyshova, Elisabeth Métais,
and Farid Meziane, 10859:509–13. Lecture Notes in Computer Science. Cham, Switzerland:
Springer, 2018. https://doi.org/10.1007/978-3-319-91947-8_53.'
ieee: 'F. S. Bäumer and M. Geierhos, “How to Deal with Inaccurate Service Descriptions
in On-The-Fly Computing: Open Challenges,” in Proceedings of the 23rd International
Conference on Natural Language and Information Systems, vol. 10859, M. Silberztein,
F. Atigui, E. Kornyshova, E. Métais, and F. Meziane, Eds. Cham, Switzerland: Springer,
2018, pp. 509–513.'
mla: 'Bäumer, Frederik Simon, and Michaela Geierhos. “How to Deal with Inaccurate
Service Descriptions in On-The-Fly Computing: Open Challenges.” Proceedings
of the 23rd International Conference on Natural Language and Information Systems,
edited by Max Silberztein et al., vol. 10859, Springer, 2018, pp. 509–13, doi:10.1007/978-3-319-91947-8_53.'
short: 'F.S. Bäumer, M. Geierhos, in: M. Silberztein, F. Atigui, E. Kornyshova,
E. Métais, F. Meziane (Eds.), Proceedings of the 23rd International Conference
on Natural Language and Information Systems, Springer, Cham, Switzerland, 2018,
pp. 509–513.'
conference:
end_date: 2018-06-18
location: Paris, France
name: 23rd International Conference on Natural Language and Information Systems
start_date: 2018-06-13
date_created: 2018-04-13T08:54:56Z
date_updated: 2022-01-06T06:55:47Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10.1007/978-3-319-91947-8_53
editor:
- first_name: 'Max '
full_name: 'Silberztein, Max '
last_name: Silberztein
- first_name: 'Faten '
full_name: 'Atigui, Faten '
last_name: Atigui
- first_name: 'Elena '
full_name: 'Kornyshova, Elena '
last_name: Kornyshova
- first_name: 'Elisabeth '
full_name: 'Métais, Elisabeth '
last_name: Métais
- first_name: 'Farid '
full_name: 'Meziane, Farid '
last_name: Meziane
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T16:12:26Z
date_updated: 2018-11-02T16:12:26Z
file_id: '5326'
file_name: Bäumer-Geierhos2018_Chapter_HowToDealWithInaccurateService.pdf
file_size: 327508
relation: main_file
success: 1
file_date_updated: 2018-11-02T16:12:26Z
has_accepted_license: '1'
intvolume: ' 10859'
keyword:
- Requirements Extraction
- Temporal Reordering of Software Functions
- Inaccuracy Compensation
language:
- iso: eng
page: 509-513
place: Cham, Switzerland
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Proceedings of the 23rd International Conference on Natural Language
and Information Systems
publication_identifier:
isbn:
- 978-3-319-91946-1
publication_status: published
publisher: Springer
quality_controlled: '1'
series_title: Lecture Notes in Computer Science
status: public
title: 'How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing:
Open Challenges'
type: book_chapter
user_id: '477'
volume: 10859
year: '2018'
...
---
_id: '2331'
abstract:
- lang: eng
text: A user generally writes software requirements in ambiguous and incomplete
form by using natural language; therefore, a software developer may have difficulty
in clearly understanding what the meanings are. To solve this problem with automation,
we propose a classifier for semantic annotation with manually pre-defined semantic
categories. To improve our classifier, we carefully designed syntactic features
extracted by constituency and dependency parsers. Even with a small dataset and
a large number of classes, our proposed classifier records an accuracy of 0.75,
which outperforms the previous model, REaCT.
article_type: original
author:
- first_name: 'Yeongsu '
full_name: 'Kim, Yeongsu '
last_name: Kim
- first_name: Seungwoo
full_name: Lee, Seungwoo
last_name: Lee
- first_name: Markus
full_name: Dollmann, Markus
id: '27578'
last_name: Dollmann
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: Kim Y, Lee S, Dollmann M, Geierhos M. Improving Classifiers for Semantic Annotation
of Software Requirements with Elaborate Syntactic Structure. International
Journal of Advanced Science and Technology. 2018;112:123-136. doi:10.14257/ijast.2018.112.12
apa: Kim, Y., Lee, S., Dollmann, M., & Geierhos, M. (2018). Improving Classifiers
for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.
International Journal of Advanced Science and Technology, 112, 123–136.
https://doi.org/10.14257/ijast.2018.112.12
bibtex: '@article{Kim_Lee_Dollmann_Geierhos_2018, title={Improving Classifiers for
Semantic Annotation of Software Requirements with Elaborate Syntactic Structure},
volume={112}, DOI={10.14257/ijast.2018.112.12},
journal={International Journal of Advanced Science and Technology}, publisher={SERSC
Australia}, author={Kim, Yeongsu and Lee, Seungwoo and Dollmann, Markus and Geierhos,
Michaela}, year={2018}, pages={123–136} }'
chicago: 'Kim, Yeongsu , Seungwoo Lee, Markus Dollmann, and Michaela Geierhos. “Improving
Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic
Structure.” International Journal of Advanced Science and Technology 112
(2018): 123–36. https://doi.org/10.14257/ijast.2018.112.12.'
ieee: Y. Kim, S. Lee, M. Dollmann, and M. Geierhos, “Improving Classifiers for Semantic
Annotation of Software Requirements with Elaborate Syntactic Structure,” International
Journal of Advanced Science and Technology, vol. 112, pp. 123–136, 2018.
mla: Kim, Yeongsu, et al. “Improving Classifiers for Semantic Annotation of Software
Requirements with Elaborate Syntactic Structure.” International Journal of
Advanced Science and Technology, vol. 112, SERSC Australia, 2018, pp. 123–36,
doi:10.14257/ijast.2018.112.12.
short: Y. Kim, S. Lee, M. Dollmann, M. Geierhos, International Journal of Advanced
Science and Technology 112 (2018) 123–136.
date_created: 2018-04-13T09:19:22Z
date_updated: 2022-01-06T06:55:49Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10.14257/ijast.2018.112.12
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T15:16:29Z
date_updated: 2018-11-02T15:16:29Z
file_id: '5297'
file_name: 12.pdf
file_size: 586968
relation: main_file
success: 1
file_date_updated: 2018-11-02T15:16:29Z
has_accepted_license: '1'
intvolume: ' 112'
keyword:
- Software Engineering
- Natural Language Processing
- Semantic Annotation
- Machine Learning
- Feature Engineering
- Syntactic Structure
language:
- iso: eng
page: 123-136
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: International Journal of Advanced Science and Technology
publication_identifier:
eissn:
- 2207-6360
issn:
- 2005-4238
publication_status: published
publisher: SERSC Australia
quality_controlled: '1'
status: public
title: Improving Classifiers for Semantic Annotation of Software Requirements with
Elaborate Syntactic Structure
type: journal_article
user_id: '477'
volume: 112
year: '2018'
...
---
_id: '4339'
abstract:
- lang: eng
text: 'On-The-Fly Computing is the vision of covering software needs of end users
by fully-automatic compositions of existing software services. End users will
receive so-called service compositions tailored to their very individual needs,
based on natural language software descriptions. This everyday language may contain
inaccuracies and incompleteness, which are well-known challenges in requirements
engineering. In addition to existing approaches that try to automatically identify
and correct these deficits, there are also new trends to involve users more in
the elaboration and refinement process. In this paper, we present the relevant
state of the art in the field of automated detection and compensation of multiple
inaccuracies in natural language service descriptions and name open challenges
needed to be tackled in NL-based software service composition. '
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Bäumer FS, Geierhos M. NLP in OTF Computing: Current Approaches and Open Challenges.
In: Damaševičius R, Vasiljevienė G, eds. Proceedings of the 24th International
Conference on Information and Software Technologies (ICIST 2018). Vol 920.
Communications in Computer and Information Science. Cham, Switzerland: Springer;
2018:559-570. doi:10.1007/978-3-319-99972-2_46'
apa: 'Bäumer, F. S., & Geierhos, M. (2018). NLP in OTF Computing: Current Approaches
and Open Challenges. In R. Damaševičius & G. Vasiljevienė (Eds.), Proceedings
of the 24th International Conference on Information and Software Technologies
(ICIST 2018) (Vol. 920, pp. 559–570). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-99972-2_46'
bibtex: '@inproceedings{Bäumer_Geierhos_2018, place={Cham, Switzerland}, series={Communications
in Computer and Information Science}, title={NLP in OTF Computing: Current Approaches
and Open Challenges}, volume={920}, DOI={10.1007/978-3-319-99972-2_46},
booktitle={Proceedings of the 24th International Conference on Information and
Software Technologies (ICIST 2018)}, publisher={Springer}, author={Bäumer, Frederik
Simon and Geierhos, Michaela}, editor={Damaševičius, Robertas and Vasiljevienė,
GiedrėEditors}, year={2018}, pages={559–570}, collection={Communications in Computer
and Information Science} }'
chicago: 'Bäumer, Frederik Simon, and Michaela Geierhos. “NLP in OTF Computing:
Current Approaches and Open Challenges.” In Proceedings of the 24th International
Conference on Information and Software Technologies (ICIST 2018), edited by
Robertas Damaševičius and Giedrė Vasiljevienė, 920:559–70. Communications in Computer
and Information Science. Cham, Switzerland: Springer, 2018. https://doi.org/10.1007/978-3-319-99972-2_46.'
ieee: 'F. S. Bäumer and M. Geierhos, “NLP in OTF Computing: Current Approaches and
Open Challenges,” in Proceedings of the 24th International Conference on Information
and Software Technologies (ICIST 2018), Vilnius, Lithuania, 2018, vol. 920,
pp. 559–570.'
mla: 'Bäumer, Frederik Simon, and Michaela Geierhos. “NLP in OTF Computing: Current
Approaches and Open Challenges.” Proceedings of the 24th International Conference
on Information and Software Technologies (ICIST 2018), edited by Robertas
Damaševičius and Giedrė Vasiljevienė, vol. 920, Springer, 2018, pp. 559–70, doi:10.1007/978-3-319-99972-2_46.'
short: 'F.S. Bäumer, M. Geierhos, in: R. Damaševičius, G. Vasiljevienė (Eds.), Proceedings
of the 24th International Conference on Information and Software Technologies
(ICIST 2018), Springer, Cham, Switzerland, 2018, pp. 559–570.'
conference:
end_date: 2018-10-06
location: Vilnius, Lithuania
name: 24th International Conference on Information and Software Technologies (ICIST
2018)
start_date: 2018-10-04
date_created: 2018-09-01T08:52:36Z
date_updated: 2022-01-06T07:00:57Z
ddc:
- '004'
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10.1007/978-3-319-99972-2_46
editor:
- first_name: Robertas
full_name: Damaševičius, Robertas
last_name: Damaševičius
- first_name: Giedrė
full_name: Vasiljevienė, Giedrė
last_name: Vasiljevienė
file:
- access_level: closed
content_type: application/pdf
creator: fbaeumer
date_created: 2019-01-11T11:36:10Z
date_updated: 2019-01-11T11:36:10Z
file_id: '6624'
file_name: baeumer-4315.pdf
file_size: 1053017
relation: main_file
success: 1
file_date_updated: 2019-01-11T11:36:10Z
has_accepted_license: '1'
intvolume: ' 920'
keyword:
- Inaccuracy detection
- Natural language software requirements
language:
- iso: eng
page: 559-570
place: Cham, Switzerland
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Proceedings of the 24th International Conference on Information and Software
Technologies (ICIST 2018)
publication_identifier:
isbn:
- '9783319999715'
- '9783319999722'
issn:
- 1865-0929
- 1865-0937
publication_status: published
publisher: Springer
quality_controlled: '1'
series_title: Communications in Computer and Information Science
status: public
title: 'NLP in OTF Computing: Current Approaches and Open Challenges'
type: conference
user_id: '38837'
volume: 920
year: '2018'
...
---
_id: '44'
abstract:
- lang: eng
text: Natural language software requirements descriptions enable end users to formulate
their wishes and expectations for a future software product without much prior
knowledge in requirements engineering. However, these descriptions are susceptible
to linguistic inaccuracies such as ambiguities and incompleteness that can harm
the development process. There is a number of software solutions that can detect
deficits in requirements descriptions and partially solve them, but they are often
hard to use and not suitable for end users. For this reason, we develop a software
system that helps end-users to create unambiguous and complete requirements descriptions
by combining existing expert tools and controlling them using automatic compensation
strategies. In order to recognize the necessity of individual compensation methods
in the descriptions, we have developed linguistic indicators, which we present
in this paper. Based on these indicators, the whole text analysis pipeline is
ad-hoc configured and thus adapted to the individual circumstances of a requirements
description.
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Bäumer FS, Geierhos M. Flexible Ambiguity Resolution and Incompleteness Detection
in Requirements Descriptions via an Indicator-based Configuration of Text Analysis
Pipelines. In: Proceedings of the 51st Hawaii International Conference on System
Sciences. ; 2018:5746-5755. doi:10125/50609'
apa: Bäumer, F. S., & Geierhos, M. (2018). Flexible Ambiguity Resolution and
Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration
of Text Analysis Pipelines. In Proceedings of the 51st Hawaii International
Conference on System Sciences (pp. 5746–5755). Big Island, Waikoloa Village.
https://doi.org/10125/50609
bibtex: '@inproceedings{Bäumer_Geierhos_2018, title={Flexible Ambiguity Resolution
and Incompleteness Detection in Requirements Descriptions via an Indicator-based
Configuration of Text Analysis Pipelines}, DOI={10125/50609},
booktitle={Proceedings of the 51st Hawaii International Conference on System Sciences},
author={Bäumer, Frederik Simon and Geierhos, Michaela}, year={2018}, pages={5746–5755}
}'
chicago: Bäumer, Frederik Simon, and Michaela Geierhos. “Flexible Ambiguity Resolution
and Incompleteness Detection in Requirements Descriptions via an Indicator-Based
Configuration of Text Analysis Pipelines.” In Proceedings of the 51st Hawaii
International Conference on System Sciences, 5746–55, 2018. https://doi.org/10125/50609.
ieee: F. S. Bäumer and M. Geierhos, “Flexible Ambiguity Resolution and Incompleteness
Detection in Requirements Descriptions via an Indicator-based Configuration of
Text Analysis Pipelines,” in Proceedings of the 51st Hawaii International Conference
on System Sciences, Big Island, Waikoloa Village, 2018, pp. 5746–5755.
mla: Bäumer, Frederik Simon, and Michaela Geierhos. “Flexible Ambiguity Resolution
and Incompleteness Detection in Requirements Descriptions via an Indicator-Based
Configuration of Text Analysis Pipelines.” Proceedings of the 51st Hawaii International
Conference on System Sciences, 2018, pp. 5746–55, doi:10125/50609.
short: 'F.S. Bäumer, M. Geierhos, in: Proceedings of the 51st Hawaii International
Conference on System Sciences, 2018, pp. 5746–5755.'
conference:
end_date: 2018-01-06
location: Big Island, Waikoloa Village
name: 51st Hawaii International Conference on System Sciences (HICSS 2018)
start_date: 2018-01-03
date_created: 2017-10-17T12:40:59Z
date_updated: 2022-01-06T07:01:01Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10125/50609
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T14:32:35Z
date_updated: 2018-11-02T14:32:35Z
file_id: '5274'
file_name: paper0722.pdf
file_size: 753693
relation: main_file
success: 1
file_date_updated: 2018-11-02T14:32:35Z
has_accepted_license: '1'
keyword:
- 'Software Product Lines: Engineering'
- Services
- and Management
- Ambiguities
- Incompleteness
- Natural Language Processing
- Software Requirements
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://scholarspace.manoa.hawaii.edu/bitstream/10125/50609/1/paper0722.pdf
oa: '1'
page: 5746-5755
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Proceedings of the 51st Hawaii International Conference on System Sciences
publication_identifier:
isbn:
- 978-0-9981331-1-9
publication_status: published
quality_controlled: '1'
status: public
title: Flexible Ambiguity Resolution and Incompleteness Detection in Requirements
Descriptions via an Indicator-based Configuration of Text Analysis Pipelines
type: conference
user_id: '477'
year: '2018'
...
---
_id: '1104'
abstract:
- lang: ger
text: 'Präzision ist kein Zufall. Sie wird vom Menschen herbeigeführt, indem Übereinstimmung
mit einem Standard oder einem akzeptierten Wert angestrebt wird oder die Reproduzierbarkeit
von Experimenten möglichst hoch sein muss. Was aber tun, wenn Präzision mangels
verfügbarer Informationen nicht hergestellt werden kann? Wie gehen Wissenschaft
und Kunst dann mit dieser fehlenden Eindeutigkeit um? Die Autorinnen und Autoren
dieses Sammelbandes beleuchten aus der Perspektive ihrer jeweiligen Fachdisziplin
die Chancen bei der Berücksichtigung von Unschärfe(n) in ihrer Forschung und Kunst.
Denn Unschärfe ist Realität. '
author:
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Geierhos M. Unschärfe bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen.
In: Freitag S, Geierhos M, Asmani R, Haug JI, eds. Unschärfe - Der Umgang mit
fehlender Eindeutigkeit. 1st ed. Nordrhein-Westfälische Akademie der Wissenschaften
und der Künste - Junges Kolleg. Paderborn, Germany: Ferdinand Schöningh; 2018:111-128.'
apa: 'Geierhos, M. (2018). Unschärfe bei der Interpretation natürlichsprachlicher
Anforderungsbeschreibungen. In S. Freitag, M. Geierhos, R. Asmani, & J. I.
Haug (Eds.), Unschärfe - Der Umgang mit fehlender Eindeutigkeit (1st ed.,
pp. 111–128). Paderborn, Germany: Ferdinand Schöningh.'
bibtex: '@inbook{Geierhos_2018, place={Paderborn, Germany}, edition={1}, series={Nordrhein-Westfälische
Akademie der Wissenschaften und der Künste - Junges Kolleg}, title={Unschärfe
bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen}, booktitle={Unschärfe
- Der Umgang mit fehlender Eindeutigkeit}, publisher={Ferdinand Schöningh}, author={Geierhos,
Michaela}, editor={Freitag, Steffen and Geierhos, Michaela and Asmani, Rozbeh
and Haug, Judith I.Editors}, year={2018}, pages={111–128}, collection={Nordrhein-Westfälische
Akademie der Wissenschaften und der Künste - Junges Kolleg} }'
chicago: 'Geierhos, Michaela. “Unschärfe bei der Interpretation natürlichsprachlicher
Anforderungsbeschreibungen.” In Unschärfe - Der Umgang mit fehlender Eindeutigkeit,
edited by Steffen Freitag, Michaela Geierhos, Rozbeh Asmani, and Judith I. Haug,
1st ed., 111–28. Nordrhein-Westfälische Akademie der Wissenschaften und der Künste
- Junges Kolleg. Paderborn, Germany: Ferdinand Schöningh, 2018.'
ieee: 'M. Geierhos, “Unschärfe bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen,”
in Unschärfe - Der Umgang mit fehlender Eindeutigkeit, 1st ed., S. Freitag,
M. Geierhos, R. Asmani, and J. I. Haug, Eds. Paderborn, Germany: Ferdinand Schöningh,
2018, pp. 111–128.'
mla: Geierhos, Michaela. “Unschärfe bei der Interpretation natürlichsprachlicher
Anforderungsbeschreibungen.” Unschärfe - Der Umgang mit fehlender Eindeutigkeit,
edited by Steffen Freitag et al., 1st ed., Ferdinand Schöningh, 2018, pp. 111–28.
short: 'M. Geierhos, in: S. Freitag, M. Geierhos, R. Asmani, J.I. Haug (Eds.), Unschärfe
- Der Umgang mit fehlender Eindeutigkeit, 1st ed., Ferdinand Schöningh, Paderborn,
Germany, 2018, pp. 111–128.'
date_created: 2018-01-26T14:19:11Z
date_updated: 2022-01-06T06:50:56Z
ddc:
- '004'
department:
- _id: '36'
- _id: '1'
- _id: '579'
edition: '1'
editor:
- first_name: Steffen
full_name: Freitag, Steffen
last_name: Freitag
- first_name: Michaela
full_name: Geierhos, Michaela
last_name: Geierhos
- first_name: Rozbeh
full_name: Asmani, Rozbeh
last_name: Asmani
- first_name: Judith I.
full_name: Haug, Judith I.
last_name: Haug
file:
- access_level: closed
content_type: application/pdf
creator: fbaeumer
date_created: 2019-01-11T15:39:39Z
date_updated: 2019-01-11T15:39:39Z
file_id: '6629'
file_name: 06_Geierhos.pdf
file_size: 1126844
relation: main_file
success: 1
file_date_updated: 2019-01-11T15:39:39Z
has_accepted_license: '1'
language:
- iso: ger
page: 111-128
place: Paderborn, Germany
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Unschärfe - Der Umgang mit fehlender Eindeutigkeit
publication_identifier:
isbn:
- 978-3-506-78896-2
publication_status: published
publisher: Ferdinand Schöningh
quality_controlled: '1'
series_title: Nordrhein-Westfälische Akademie der Wissenschaften und der Künste -
Junges Kolleg
status: public
title: Unschärfe bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen
type: book_chapter
user_id: '13929'
year: '2018'
...
---
_id: '1181'
abstract:
- lang: eng
text: "The main idea in On-The-Fly Computing is to automatically compose existing
software services according to the wishes of end-users. However, since user requirements
are often ambiguous, vague and incomplete, the selection and composition of suitable
software services is a challanging task. In this paper, we present our current
approach to improve requirement descriptions before they are used for software
composition. This procedure is fully automated, but also has limitations, for
example, if necessary information is missing. In addition, and in response to
the limitations, we provide insights into our above-mentioned current work that
combines the existing optimization approach with a\r\nchatbot solution."
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Bäumer FS, Geierhos M. How to Deal with Inaccurate Service Requirements? Insights
in Our Current Approach and New Ideas. In: Schmid K, Spoletini P, Ben Charrada
E, et al., eds. Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium,
Live Studies Track, and Poster Track Co-Located with the 23rd International Conference
on Requirements Engineering: Foundation for Software Quality (REFSQ 2018).
Vol 2075. CEUR Workshop Proceedings. CEUR-WS.org; 2018.'
apa: 'Bäumer, F. S., & Geierhos, M. (2018). How to Deal with Inaccurate Service
Requirements? Insights in Our Current Approach and New Ideas. In K. Schmid, P.
Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, … A. Zamansky (Eds.),
Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies
Track, and Poster Track co-located with the 23rd International Conference on Requirements
Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). Utrecht,
The Netherlands: CEUR-WS.org.'
bibtex: '@inproceedings{Bäumer_Geierhos_2018, series={CEUR Workshop Proceedings},
title={How to Deal with Inaccurate Service Requirements? Insights in Our Current
Approach and New Ideas}, volume={2075}, booktitle={Joint Proceedings of REFSQ-2018
Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located
with the 23rd International Conference on Requirements Engineering: Foundation
for Software Quality (REFSQ 2018)}, publisher={CEUR-WS.org}, author={Bäumer, Frederik
Simon and Geierhos, Michaela}, editor={Schmid, Klaus and Spoletini, Paola and
Ben Charrada, Eya and Chisik, Yoram and Dalpiaz, Fabiano and Ferrari, Alessio
and Forbrig, Peter and Franch, Xavier and Kirikova, Marite and Madhavji, Nazim
and et al.Editors}, year={2018}, collection={CEUR Workshop Proceedings} }'
chicago: 'Bäumer, Frederik Simon, and Michaela Geierhos. “How to Deal with Inaccurate
Service Requirements? Insights in Our Current Approach and New Ideas.” In Joint
Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and
Poster Track Co-Located with the 23rd International Conference on Requirements
Engineering: Foundation for Software Quality (REFSQ 2018), edited by Klaus
Schmid, Paola Spoletini, Eya Ben Charrada, Yoram Chisik, Fabiano Dalpiaz, Alessio
Ferrari, Peter Forbrig, et al., Vol. 2075. CEUR Workshop Proceedings. CEUR-WS.org,
2018.'
ieee: 'F. S. Bäumer and M. Geierhos, “How to Deal with Inaccurate Service Requirements?
Insights in Our Current Approach and New Ideas,” in Joint Proceedings of REFSQ-2018
Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located
with the 23rd International Conference on Requirements Engineering: Foundation
for Software Quality (REFSQ 2018), Utrecht, The Netherlands, 2018, vol. 2075.'
mla: 'Bäumer, Frederik Simon, and Michaela Geierhos. “How to Deal with Inaccurate
Service Requirements? Insights in Our Current Approach and New Ideas.” Joint
Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and
Poster Track Co-Located with the 23rd International Conference on Requirements
Engineering: Foundation for Software Quality (REFSQ 2018), edited by Klaus
Schmid et al., vol. 2075, CEUR-WS.org, 2018.'
short: 'F.S. Bäumer, M. Geierhos, in: K. Schmid, P. Spoletini, E. Ben Charrada,
Y. Chisik, F. Dalpiaz, A. Ferrari, P. Forbrig, X. Franch, M. Kirikova, N. Madhavji,
C. Palomares, J. Ralyté, M. Sabetzadeh, P. Sawyer, D. van der Linden, A. Zamansky
(Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies
Track, and Poster Track Co-Located with the 23rd International Conference on Requirements
Engineering: Foundation for Software Quality (REFSQ 2018), CEUR-WS.org, 2018.'
conference:
end_date: 2018-03-19
location: Utrecht, The Netherlands
name: 1st Workshop on Natural Language Processing for Requirements Engineering (NLP4RE)
start_date: 2018-03-19
date_created: 2018-03-02T09:22:12Z
date_updated: 2022-01-06T06:51:09Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
editor:
- first_name: Klaus
full_name: Schmid, Klaus
last_name: Schmid
- first_name: Paola
full_name: Spoletini, Paola
last_name: Spoletini
- first_name: Eya
full_name: Ben Charrada, Eya
last_name: Ben Charrada
- first_name: Yoram
full_name: Chisik, Yoram
last_name: Chisik
- first_name: Fabiano
full_name: Dalpiaz, Fabiano
last_name: Dalpiaz
- first_name: Alessio
full_name: Ferrari, Alessio
last_name: Ferrari
- first_name: Peter
full_name: Forbrig, Peter
last_name: Forbrig
- first_name: Xavier
full_name: Franch, Xavier
last_name: Franch
- first_name: Marite
full_name: Kirikova, Marite
last_name: Kirikova
- first_name: Nazim
full_name: Madhavji, Nazim
last_name: Madhavji
- first_name: Cristina
full_name: Palomares, Cristina
last_name: Palomares
- first_name: Jolita
full_name: Ralyté, Jolita
last_name: Ralyté
- first_name: Mehrdad
full_name: Sabetzadeh, Mehrdad
last_name: Sabetzadeh
- first_name: Pete
full_name: Sawyer, Pete
last_name: Sawyer
- first_name: Dirk
full_name: van der Linden, Dirk
last_name: van der Linden
- first_name: Anna
full_name: Zamansky, Anna
last_name: Zamansky
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T13:52:54Z
date_updated: 2018-11-02T13:52:54Z
file_id: '5256'
file_name: NLP4RE_paper1.pdf
file_size: 1126820
relation: main_file
success: 1
file_date_updated: 2018-11-02T13:52:54Z
has_accepted_license: '1'
intvolume: ' 2075'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://ceur-ws.org/Vol-2075/NLP4RE_paper1.pdf
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: 'Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live
Studies Track, and Poster Track co-located with the 23rd International Conference
on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)'
publication_identifier:
issn:
- 1613-0073
publication_status: published
publisher: CEUR-WS.org
quality_controlled: '1'
series_title: CEUR Workshop Proceedings
status: public
title: How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach
and New Ideas
type: conference
user_id: '477'
volume: 2075
year: '2018'
...
---
_id: '1182'
abstract:
- lang: eng
text: Natural language requirement descriptions are often unstructured, contradictory
and incomplete and are therefore challenging for automatic processing. Although
many of these deficits can be compensated by means of Natural Language Processing,
there still remain cases where interaction with end-users is necessary for clarification.
In this paper, we present our idea of using chatbot technology to establish end-user
communication in order to support the automatic compensation of some deficits
in natural language requirement descriptions.
author:
- first_name: Edwin
full_name: Friesen, Edwin
last_name: Friesen
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Friesen E, Bäumer FS, Geierhos M. CORDULA: Software Requirements Extraction
Utilizing Chatbot as Communication Interface. In: Schmid K, Spoletini P, Ben Charrada
E, et al., eds. Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium,
Live Studies Track, and Poster Track Co-Located with the 23rd International Conference
on Requirements Engineering: Foundation for Software Quality (REFSQ 2018).
Vol 2075. CEUR Workshop Proceedings. CEUR-WS.org; 2018.'
apa: 'Friesen, E., Bäumer, F. S., & Geierhos, M. (2018). CORDULA: Software Requirements
Extraction Utilizing Chatbot as Communication Interface. In K. Schmid, P. Spoletini,
E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, … A. Zamansky (Eds.), Joint
Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and
Poster Track co-located with the 23rd International Conference on Requirements
Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). Utrecht,
The Netherlands: CEUR-WS.org.'
bibtex: '@inproceedings{Friesen_Bäumer_Geierhos_2018, series={CEUR Workshop Proceedings},
title={CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication
Interface}, volume={2075}, booktitle={Joint Proceedings of REFSQ-2018 Workshops,
Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd
International Conference on Requirements Engineering: Foundation for Software
Quality (REFSQ 2018)}, publisher={CEUR-WS.org}, author={Friesen, Edwin and Bäumer,
Frederik Simon and Geierhos, Michaela}, editor={Schmid, Klaus and Spoletini,
Paola and Ben Charrada, Eya and Chisik, Yoram and Dalpiaz, Fabiano and Ferrari,
Alessio and Forbrig, Peter and Franch, Xavier and Kirikova, Marite and Madhavji,
Nazim and et al.Editors}, year={2018}, collection={CEUR Workshop Proceedings}
}'
chicago: 'Friesen, Edwin, Frederik Simon Bäumer, and Michaela Geierhos. “CORDULA:
Software Requirements Extraction Utilizing Chatbot as Communication Interface.”
In Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies
Track, and Poster Track Co-Located with the 23rd International Conference on Requirements
Engineering: Foundation for Software Quality (REFSQ 2018), edited by Klaus Schmid,
Paola Spoletini, Eya Ben Charrada, Yoram Chisik, Fabiano Dalpiaz, Alessio Ferrari,
Peter Forbrig, et al., Vol. 2075. CEUR Workshop Proceedings. CEUR-WS.org, 2018.'
ieee: 'E. Friesen, F. S. Bäumer, and M. Geierhos, “CORDULA: Software Requirements
Extraction Utilizing Chatbot as Communication Interface,” in Joint Proceedings
of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track
co-located with the 23rd International Conference on Requirements Engineering:
Foundation for Software Quality (REFSQ 2018), Utrecht, The Netherlands, 2018,
vol. 2075.'
mla: 'Friesen, Edwin, et al. “CORDULA: Software Requirements Extraction Utilizing
Chatbot as Communication Interface.” Joint Proceedings of REFSQ-2018 Workshops,
Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd
International Conference on Requirements Engineering: Foundation for Software
Quality (REFSQ 2018), edited by Klaus Schmid et al., vol. 2075, CEUR-WS.org,
2018.'
short: 'E. Friesen, F.S. Bäumer, M. Geierhos, in: K. Schmid, P. Spoletini, E. Ben
Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, P. Forbrig, X. Franch, M. Kirikova,
N. Madhavji, C. Palomares, J. Ralyté, M. Sabetzadeh, P. Sawyer, D. van der Linden,
A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium,
Live Studies Track, and Poster Track Co-Located with the 23rd International Conference
on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), CEUR-WS.org,
2018.'
conference:
end_date: 2018-03-19
location: Utrecht, The Netherlands
name: 1st Workshop on Natural Language Processing for Requirements Engineering (NLP4RE)
start_date: 2018-03-19
date_created: 2018-03-02T09:27:12Z
date_updated: 2022-01-06T06:51:10Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
editor:
- first_name: 'Klaus '
full_name: 'Schmid, Klaus '
last_name: Schmid
- first_name: 'Paola '
full_name: 'Spoletini, Paola '
last_name: Spoletini
- first_name: 'Eya '
full_name: 'Ben Charrada, Eya '
last_name: Ben Charrada
- first_name: 'Yoram '
full_name: 'Chisik, Yoram '
last_name: Chisik
- first_name: 'Fabiano '
full_name: 'Dalpiaz, Fabiano '
last_name: Dalpiaz
- first_name: 'Alessio '
full_name: 'Ferrari, Alessio '
last_name: Ferrari
- first_name: 'Peter '
full_name: 'Forbrig, Peter '
last_name: Forbrig
- first_name: 'Xavier '
full_name: 'Franch, Xavier '
last_name: Franch
- first_name: 'Marite '
full_name: 'Kirikova, Marite '
last_name: Kirikova
- first_name: 'Nazim '
full_name: 'Madhavji, Nazim '
last_name: Madhavji
- first_name: 'Cristina '
full_name: 'Palomares, Cristina '
last_name: Palomares
- first_name: 'Jolita '
full_name: 'Ralyté, Jolita '
last_name: Ralyté
- first_name: 'Mehrdad '
full_name: 'Sabetzadeh, Mehrdad '
last_name: Sabetzadeh
- first_name: 'Pete '
full_name: 'Sawyer, Pete '
last_name: Sawyer
- first_name: 'Dirk '
full_name: 'van der Linden, Dirk '
last_name: van der Linden
- first_name: 'Anna '
full_name: 'Zamansky, Anna '
last_name: Zamansky
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T14:36:55Z
date_updated: 2018-11-02T14:36:55Z
file_id: '5276'
file_name: NLP4RE_paper3.pdf
file_size: 530902
relation: main_file
success: 1
file_date_updated: 2018-11-02T14:36:55Z
has_accepted_license: '1'
intvolume: ' 2075'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://ceur-ws.org/Vol-2075/NLP4RE_paper3.pdf
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: 'Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live
Studies Track, and Poster Track co-located with the 23rd International Conference
on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)'
publication_identifier:
issn:
- 1613-0073
publication_status: published
publisher: CEUR-WS.org
quality_controlled: '1'
series_title: CEUR Workshop Proceedings
status: public
title: 'CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication
Interface'
type: conference
user_id: '477'
volume: 2075
year: '2018'
...
---
_id: '1183'
abstract:
- lang: eng
text: "As our world grows in complexity, companies and employees alike need, more
than ever before, solutions tailored to their exact needs. Since such tools cannot
always be purchased off-the-shelf and need to be designed from the ground up,
developers rely on software requirements. In this paper, we present our vision
of a syntactic rule-based extraction\r\ntool for software requirements specification
documents. In contrast to other methods, our tool will allow stakeholders to express
their needs and wishes in unfiltered natural language, which we believe is essential
for non-expert users."
author:
- first_name: Matthew
full_name: Caron, Matthew
last_name: Caron
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Caron M, Bäumer FS, Geierhos M. Back to Basics: Extracting Software Requirements
with a Syntactic Approach. In: Schmid K, Spoletini P, Ben Charrada E, et al.,
eds. Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies
Track, and Poster Track Co-Located with the 23rd International Conference on Requirements
Engineering: Foundation for Software Quality (REFSQ 2018). Vol 2075. CEUR
Workshop Proceedings. CEUR-WS.org; 2018.'
apa: 'Caron, M., Bäumer, F. S., & Geierhos, M. (2018). Back to Basics: Extracting
Software Requirements with a Syntactic Approach. In K. Schmid, P. Spoletini, E.
Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, … A. Zamansky (Eds.), Joint
Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and
Poster Track co-located with the 23rd International Conference on Requirements
Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). Utrecht,
The Netherlands: CEUR-WS.org.'
bibtex: '@inproceedings{Caron_Bäumer_Geierhos_2018, series={CEUR Workshop Proceedings},
title={Back to Basics: Extracting Software Requirements with a Syntactic Approach},
volume={2075}, booktitle={Joint Proceedings of REFSQ-2018 Workshops, Doctoral
Symposium, Live Studies Track, and Poster Track co-located with the 23rd International
Conference on Requirements Engineering: Foundation for Software Quality (REFSQ
2018)}, publisher={CEUR-WS.org}, author={Caron, Matthew and Bäumer, Frederik Simon
and Geierhos, Michaela}, editor={Schmid, Klaus and Spoletini, Paola and Ben Charrada,
Eya and Chisik, Yoram and Dalpiaz, Fabiano and Ferrari, Alessio and Forbrig, Peter
and Franch, Xavier and Kirikova, Marite and Madhavji, Nazim and et al.Editors},
year={2018}, collection={CEUR Workshop Proceedings} }'
chicago: 'Caron, Matthew, Frederik Simon Bäumer, and Michaela Geierhos. “Back to
Basics: Extracting Software Requirements with a Syntactic Approach.” In Joint
Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and
Poster Track Co-Located with the 23rd International Conference on Requirements
Engineering: Foundation for Software Quality (REFSQ 2018), edited by Klaus
Schmid, Paola Spoletini, Eya Ben Charrada, Yoram Chisik, Fabiano Dalpiaz, Alessio
Ferrari, Peter Forbrig, et al., Vol. 2075. CEUR Workshop Proceedings. CEUR-WS.org,
2018.'
ieee: 'M. Caron, F. S. Bäumer, and M. Geierhos, “Back to Basics: Extracting Software
Requirements with a Syntactic Approach,” in Joint Proceedings of REFSQ-2018
Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located
with the 23rd International Conference on Requirements Engineering: Foundation
for Software Quality (REFSQ 2018), Utrecht, The Netherlands, 2018, vol. 2075.'
mla: 'Caron, Matthew, et al. “Back to Basics: Extracting Software Requirements with
a Syntactic Approach.” Joint Proceedings of REFSQ-2018 Workshops, Doctoral
Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International
Conference on Requirements Engineering: Foundation for Software Quality (REFSQ
2018), edited by Klaus Schmid et al., vol. 2075, CEUR-WS.org, 2018.'
short: 'M. Caron, F.S. Bäumer, M. Geierhos, in: K. Schmid, P. Spoletini, E. Ben
Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, P. Forbrig, X. Franch, M. Kirikova,
N. Madhavji, C. Palomares, J. Ralyté, M. Sabetzadeh, P. Sawyer, D. van der Linden,
A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium,
Live Studies Track, and Poster Track Co-Located with the 23rd International Conference
on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), CEUR-WS.org,
2018.'
conference:
end_date: 2018-03-19
location: Utrecht, The Netherlands
name: 1st Workshop on Natural Language Processing for Requirements Engineering (NLP4RE)
start_date: 2018-03-19
date_created: 2018-03-02T09:28:59Z
date_updated: 2022-01-06T06:51:11Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
editor:
- first_name: Klaus
full_name: Schmid, Klaus
last_name: Schmid
- first_name: Paola
full_name: Spoletini, Paola
last_name: Spoletini
- first_name: Eya
full_name: Ben Charrada, Eya
last_name: Ben Charrada
- first_name: Yoram
full_name: Chisik, Yoram
last_name: Chisik
- first_name: Fabiano
full_name: Dalpiaz, Fabiano
last_name: Dalpiaz
- first_name: Alessio
full_name: Ferrari, Alessio
last_name: Ferrari
- first_name: Peter
full_name: Forbrig, Peter
last_name: Forbrig
- first_name: Xavier
full_name: Franch, Xavier
last_name: Franch
- first_name: Marite
full_name: Kirikova, Marite
last_name: Kirikova
- first_name: Nazim
full_name: Madhavji, Nazim
last_name: Madhavji
- first_name: Cristina
full_name: Palomares, Cristina
last_name: Palomares
- first_name: Jolita
full_name: Ralyté, Jolita
last_name: Ralyté
- first_name: Mehrdad
full_name: Sabetzadeh, Mehrdad
last_name: Sabetzadeh
- first_name: Pete
full_name: Sawyer, Pete
last_name: Sawyer
- first_name: Dirk
full_name: van der Linden, Dirk
last_name: van der Linden
- first_name: Anna
full_name: Zamansky, Anna
last_name: Zamansky
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T14:40:58Z
date_updated: 2018-11-02T14:40:58Z
file_id: '5279'
file_name: NLP4RE_paper5.pdf
file_size: 254814
relation: main_file
success: 1
file_date_updated: 2018-11-02T14:40:58Z
has_accepted_license: '1'
intvolume: ' 2075'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://ceur-ws.org/Vol-2075/NLP4RE_paper5.pdf
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: 'Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live
Studies Track, and Poster Track co-located with the 23rd International Conference
on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)'
publication_identifier:
issn:
- 1613-0073
publication_status: published
publisher: CEUR-WS.org
quality_controlled: '1'
series_title: CEUR Workshop Proceedings
status: public
title: 'Back to Basics: Extracting Software Requirements with a Syntactic Approach'
type: conference
user_id: '477'
volume: 2075
year: '2018'
...
---
_id: '11710'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Khalid
full_name: Al Khatib, Khalid
last_name: Al Khatib
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Chen W-F, Wachsmuth H, Al Khatib K, Stein B. Learning to Flip the Bias of
News Headlines. In: Proceedings of the 11th International Conference on Natural
Language Generation. Association for Computational Linguistics; 2018:79-88.'
apa: Chen, W.-F., Wachsmuth, H., Al Khatib, K., & Stein, B. (2018). Learning
to Flip the Bias of News Headlines. Proceedings of the 11th International Conference
on Natural Language Generation, 79–88.
bibtex: '@inproceedings{Chen_Wachsmuth_Al Khatib_Stein_2018, title={Learning to
Flip the Bias of News Headlines}, booktitle={Proceedings of the 11th International
Conference on Natural Language Generation}, publisher={Association for Computational
Linguistics}, author={Chen, Wei-Fan and Wachsmuth, Henning and Al Khatib, Khalid
and Stein, Benno}, year={2018}, pages={79–88} }'
chicago: Chen, Wei-Fan, Henning Wachsmuth, Khalid Al Khatib, and Benno Stein. “Learning
to Flip the Bias of News Headlines.” In Proceedings of the 11th International
Conference on Natural Language Generation, 79–88. Association for Computational
Linguistics, 2018.
ieee: W.-F. Chen, H. Wachsmuth, K. Al Khatib, and B. Stein, “Learning to Flip the
Bias of News Headlines,” in Proceedings of the 11th International Conference
on Natural Language Generation, 2018, pp. 79–88.
mla: Chen, Wei-Fan, et al. “Learning to Flip the Bias of News Headlines.” Proceedings
of the 11th International Conference on Natural Language Generation, Association
for Computational Linguistics, 2018, pp. 79–88.
short: 'W.-F. Chen, H. Wachsmuth, K. Al Khatib, B. Stein, in: Proceedings of the
11th International Conference on Natural Language Generation, Association for
Computational Linguistics, 2018, pp. 79–88.'
date_created: 2019-07-11T13:13:43Z
date_updated: 2022-05-09T15:04:38Z
department:
- _id: '600'
- _id: '568'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/W18-6509.pdf
page: 79-88
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the 11th International Conference on Natural Language
Generation
publisher: Association for Computational Linguistics
status: public
title: Learning to Flip the Bias of News Headlines
type: conference
user_id: '82920'
year: '2018'
...
---
_id: '14873'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
citation:
ama: 'Chen W-F, Hagen M, Stein B, Potthast M. A User Study on Snippet Generation:
Text Reuse vs. Paraphrases. In: Proceedings of the 41st International ACM SIGIR
Conference on Research & Development in Information Retrieval. ; 2018:1033-1036.'
apa: 'Chen, W.-F., Hagen, M., Stein, B., & Potthast, M. (2018). A User Study
on Snippet Generation: Text Reuse vs. Paraphrases. Proceedings of the 41st
International ACM SIGIR Conference on Research & Development in Information
Retrieval, 1033–1036.'
bibtex: '@inproceedings{Chen_Hagen_Stein_Potthast_2018, title={A User Study on Snippet
Generation: Text Reuse vs. Paraphrases}, booktitle={Proceedings of the 41st International
ACM SIGIR Conference on Research & Development in Information Retrieval},
author={Chen, Wei-Fan and Hagen, Matthias and Stein, Benno and Potthast, Martin},
year={2018}, pages={1033–1036} }'
chicago: 'Chen, Wei-Fan, Matthias Hagen, Benno Stein, and Martin Potthast. “A User
Study on Snippet Generation: Text Reuse vs. Paraphrases.” In Proceedings of
the 41st International ACM SIGIR Conference on Research & Development in Information
Retrieval, 1033–36, 2018.'
ieee: 'W.-F. Chen, M. Hagen, B. Stein, and M. Potthast, “A User Study on Snippet
Generation: Text Reuse vs. Paraphrases,” in Proceedings of the 41st International
ACM SIGIR Conference on Research & Development in Information Retrieval,
2018, pp. 1033–1036.'
mla: 'Chen, Wei-Fan, et al. “A User Study on Snippet Generation: Text Reuse vs.
Paraphrases.” Proceedings of the 41st International ACM SIGIR Conference on
Research & Development in Information Retrieval, 2018, pp. 1033–36.'
short: 'W.-F. Chen, M. Hagen, B. Stein, M. Potthast, in: Proceedings of the 41st
International ACM SIGIR Conference on Research & Development in Information
Retrieval, 2018, pp. 1033–1036.'
date_created: 2019-11-11T09:51:05Z
date_updated: 2022-05-09T15:04:59Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://dl.acm.org/doi/pdf/10.1145/3209978.3210149
page: 1033-1036
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the 41st International ACM SIGIR Conference on Research
& Development in Information Retrieval
status: public
title: 'A User Study on Snippet Generation: Text Reuse vs. Paraphrases'
type: conference
user_id: '82920'
year: '2018'
...
---
_id: '14885'
author:
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Potthast M, Chen W-F, Hagen M, Stein B. A Plan for Ancillary Copyright: Original
Snippets. In: Proceedings of the Second International Workshop on Recent Trends
in News Information Retrieval. ; 2018:3-5.'
apa: 'Potthast, M., Chen, W.-F., Hagen, M., & Stein, B. (2018). A Plan for Ancillary
Copyright: Original Snippets. Proceedings of the Second International Workshop
on Recent Trends in News Information Retrieval, 3–5.'
bibtex: '@inproceedings{Potthast_Chen_Hagen_Stein_2018, title={A Plan for Ancillary
Copyright: Original Snippets.}, booktitle={Proceedings of the Second International
Workshop on Recent Trends in News Information Retrieval}, author={Potthast, Martin
and Chen, Wei-Fan and Hagen, Matthias and Stein, Benno}, year={2018}, pages={3–5}
}'
chicago: 'Potthast, Martin, Wei-Fan Chen, Matthias Hagen, and Benno Stein. “A Plan
for Ancillary Copyright: Original Snippets.” In Proceedings of the Second International
Workshop on Recent Trends in News Information Retrieval, 3–5, 2018.'
ieee: 'M. Potthast, W.-F. Chen, M. Hagen, and B. Stein, “A Plan for Ancillary Copyright:
Original Snippets.,” in Proceedings of the Second International Workshop on
Recent Trends in News Information Retrieval, 2018, pp. 3–5.'
mla: 'Potthast, Martin, et al. “A Plan for Ancillary Copyright: Original Snippets.”
Proceedings of the Second International Workshop on Recent Trends in News Information
Retrieval, 2018, pp. 3–5.'
short: 'M. Potthast, W.-F. Chen, M. Hagen, B. Stein, in: Proceedings of the Second
International Workshop on Recent Trends in News Information Retrieval, 2018, pp.
3–5.'
date_created: 2019-11-11T12:32:01Z
date_updated: 2022-05-09T15:05:42Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://webis.de/downloads/publications/papers/stein_2018b.pdf
page: 3-5
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the Second International Workshop on Recent Trends in
News Information Retrieval
status: public
title: 'A Plan for Ancillary Copyright: Original Snippets.'
type: conference
user_id: '82920'
year: '2018'
...
---
_id: '93'
abstract:
- lang: eng
text: "In recent years, there has been a proliferation of technological developments
that incorporate processing of human language. Hardware and software can be specialized
for designated subject areas, and computational devices are designed for a widening
variety of applications. At the same time, new areas and applications are emerging
by demanding intelligent technology enhanced by the processing of human language.
These new applications often perform tasks which handle information, and they
have a capacity to reason, using both formal and human language. Many sub-areas
of Artificial Intelligence demand integration of Natural Language Processing,
at least to some degree. Furthermore, technologies require coverage of known as
well as unknown agents, and tasks with potential variations. All of this takes
place in environments with unknown factors.\r\nThe book covers theoretical work,
advanced applications, approaches, and techniques for computational models of
information, reasoning systems, and presentation in language. The book promotes
work on intelligent natural language processing and related models of information,
thought, reasoning, and other cognitive processes. The topics covered by the chapters
prompt further research and developments of advanced systems in the areas of logic,
computability, computational linguistics, cognitive science, neuroscience of language,
robotics, and artificial intelligence, among others."
author:
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
citation:
ama: 'Geierhos M, Bäumer FS. Guesswork? Resolving Vagueness in User-Generated Software
Requirements. In: Christiansen H, Jiménez-López MD, Loukanova R, Moss LS, eds.
Partiality and Underspecification in Information, Languages, and Knowledge.
1st ed. Newcastle upon Tyne, UK: Cambridge Scholars Publishing; 2017:65-108.'
apa: 'Geierhos, M., & Bäumer, F. S. (2017). Guesswork? Resolving Vagueness in
User-Generated Software Requirements. In H. Christiansen, M. D. Jiménez-López,
R. Loukanova, & L. S. Moss (Eds.), Partiality and Underspecification in
Information, Languages, and Knowledge (1st ed., pp. 65–108). Newcastle upon
Tyne, UK: Cambridge Scholars Publishing.'
bibtex: '@inbook{Geierhos_Bäumer_2017, place={Newcastle upon Tyne, UK}, edition={1},
title={Guesswork? Resolving Vagueness in User-Generated Software Requirements},
booktitle={Partiality and Underspecification in Information, Languages, and Knowledge},
publisher={Cambridge Scholars Publishing}, author={Geierhos, Michaela and Bäumer,
Frederik Simon}, editor={Christiansen, Henning and Jiménez-López, M. Dolores
and Loukanova, Roussanka and Moss, Lawrence S.Editors}, year={2017}, pages={65–108}
}'
chicago: 'Geierhos, Michaela, and Frederik Simon Bäumer. “Guesswork? Resolving Vagueness
in User-Generated Software Requirements.” In Partiality and Underspecification
in Information, Languages, and Knowledge, edited by Henning Christiansen,
M. Dolores Jiménez-López, Roussanka Loukanova, and Lawrence S. Moss, 1st ed.,
65–108. Newcastle upon Tyne, UK: Cambridge Scholars Publishing, 2017.'
ieee: 'M. Geierhos and F. S. Bäumer, “Guesswork? Resolving Vagueness in User-Generated
Software Requirements,” in Partiality and Underspecification in Information,
Languages, and Knowledge, 1st ed., H. Christiansen, M. D. Jiménez-López, R.
Loukanova, and L. S. Moss, Eds. Newcastle upon Tyne, UK: Cambridge Scholars Publishing,
2017, pp. 65–108.'
mla: Geierhos, Michaela, and Frederik Simon Bäumer. “Guesswork? Resolving Vagueness
in User-Generated Software Requirements.” Partiality and Underspecification
in Information, Languages, and Knowledge, edited by Henning Christiansen
et al., 1st ed., Cambridge Scholars Publishing, 2017, pp. 65–108.
short: 'M. Geierhos, F.S. Bäumer, in: H. Christiansen, M.D. Jiménez-López, R. Loukanova,
L.S. Moss (Eds.), Partiality and Underspecification in Information, Languages,
and Knowledge, 1st ed., Cambridge Scholars Publishing, Newcastle upon Tyne, UK,
2017, pp. 65–108.'
date_created: 2017-10-17T12:41:09Z
date_updated: 2022-01-06T07:04:13Z
ddc:
- '004'
department:
- _id: '36'
- _id: '1'
- _id: '579'
edition: '1'
editor:
- first_name: 'Henning '
full_name: 'Christiansen, Henning '
last_name: Christiansen
- first_name: M. Dolores
full_name: Jiménez-López, M. Dolores
last_name: Jiménez-López
- first_name: 'Roussanka '
full_name: 'Loukanova, Roussanka '
last_name: Loukanova
- first_name: Lawrence S.
full_name: Moss, Lawrence S.
last_name: Moss
file:
- access_level: closed
content_type: application/pdf
creator: fbaeumer
date_created: 2019-01-11T11:43:23Z
date_updated: 2019-01-11T11:43:23Z
file_id: '6625'
file_name: CSP_Chapter_GeierhosBaeumer.pdf
file_size: 2888473
relation: main_file
success: 1
file_date_updated: 2019-01-11T11:43:23Z
has_accepted_license: '1'
language:
- iso: eng
page: 65-108
place: Newcastle upon Tyne, UK
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Partiality and Underspecification in Information, Languages, and Knowledge
publication_identifier:
isbn:
- 978-1- 4438-7947-7
publication_status: published
publisher: Cambridge Scholars Publishing
quality_controlled: '1'
status: public
title: Guesswork? Resolving Vagueness in User-Generated Software Requirements
type: book_chapter
user_id: '38837'
year: '2017'
...