---
_id: '45787'
author:
- first_name: Avishek
  full_name: Mishra, Avishek
  last_name: Mishra
citation:
  ama: Mishra A. <i>Computational Text Professionalization Using Neural Sequence-to-Sequence
    Models</i>.; 2021.
  apa: Mishra, A. (2021). <i>Computational Text Professionalization using Neural Sequence-to-Sequence
    Models</i>.
  bibtex: '@book{Mishra_2021, title={Computational Text Professionalization using
    Neural Sequence-to-Sequence Models}, author={Mishra, Avishek}, year={2021} }'
  chicago: Mishra, Avishek. <i>Computational Text Professionalization Using Neural
    Sequence-to-Sequence Models</i>, 2021.
  ieee: A. Mishra, <i>Computational Text Professionalization using Neural Sequence-to-Sequence
    Models</i>. 2021.
  mla: Mishra, Avishek. <i>Computational Text Professionalization Using Neural Sequence-to-Sequence
    Models</i>. 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: '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: <i>Proceedings of the 16th Conference of the European Chapter of the
    Association for Computational Linguistics: Main Volume</i>. Association for Computational
    Linguistics; 2021:224-233. doi:<a href="https://doi.org/10.18653/v1/2021.eacl-main.17">10.18653/v1/2021.eacl-main.17</a>'
  apa: 'Alshomary, M., Chen, W.-F., Gurcke, T., &#38; Wachsmuth, H. (2021). Belief-based
    Generation of Argumentative Claims. <i>Proceedings of the 16th Conference of the
    European Chapter of the Association for Computational Linguistics: Main Volume</i>,
    224–233. <a href="https://doi.org/10.18653/v1/2021.eacl-main.17">https://doi.org/10.18653/v1/2021.eacl-main.17</a>'
  bibtex: '@inproceedings{Alshomary_Chen_Gurcke_Wachsmuth_2021, title={Belief-based
    Generation of Argumentative Claims}, DOI={<a href="https://doi.org/10.18653/v1/2021.eacl-main.17">10.18653/v1/2021.eacl-main.17</a>},
    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={224–233} }'
  chicago: 'Alshomary, Milad, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. “Belief-Based
    Generation of Argumentative Claims.” In <i>Proceedings of the 16th Conference
    of the European Chapter of the Association for Computational Linguistics: Main
    Volume</i>, 224–33. Association for Computational Linguistics, 2021. <a href="https://doi.org/10.18653/v1/2021.eacl-main.17">https://doi.org/10.18653/v1/2021.eacl-main.17</a>.'
  ieee: 'M. Alshomary, W.-F. Chen, T. Gurcke, and H. Wachsmuth, “Belief-based Generation
    of Argumentative Claims,” in <i>Proceedings of the 16th Conference of the European
    Chapter of the Association for Computational Linguistics: Main Volume</i>, Online,
    2021, pp. 224–233, doi: <a href="https://doi.org/10.18653/v1/2021.eacl-main.17">10.18653/v1/2021.eacl-main.17</a>.'
  mla: 'Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.”
    <i>Proceedings of the 16th Conference of the European Chapter of the Association
    for Computational Linguistics: Main Volume</i>, Association for Computational
    Linguistics, 2021, pp. 224–33, doi:<a href="https://doi.org/10.18653/v1/2021.eacl-main.17">10.18653/v1/2021.eacl-main.17</a>.'
  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. 224–233.'
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: 2026-02-23T16:06:41Z
department:
- _id: '600'
doi: 10.18653/v1/2021.eacl-main.17
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2021.eacl-main.17
page: 224-233
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: '14972'
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. <i>Information and Software Technologies</i>. Vol 1283.
    Communications in Computer and Information Science. Springer; 2020:368--382. doi:<a
    href="https://doi.org/10.1007/978-3-030-59506-7_30">https://doi.org/10.1007/978-3-030-59506-7_30</a>'
  apa: 'Bäumer, F. S., Kersting, J., Buff, B., &#38; 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, &#38; S. Vilma (Eds.), <i>Information and Software
    Technologies</i> (Vol. 1283, pp. 368--382). Kaunas, Litauen: Springer. <a href="https://doi.org/10.1007/978-3-030-59506-7_30">https://doi.org/10.1007/978-3-030-59506-7_30</a>'
  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={<a href="https://doi.org/10.1007/978-3-030-59506-7_30">https://doi.org/10.1007/978-3-030-59506-7_30</a>},
    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 <i>Information and Software Technologies</i>, edited by Lopata
    Audrius, Butkienė Rita, Gudonienė Daina, and Sukackė Vilma, 1283:368--382. Communications
    in Computer and Information Science. Springer, 2020. <a href="https://doi.org/10.1007/978-3-030-59506-7_30">https://doi.org/10.1007/978-3-030-59506-7_30</a>.'
  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
    <i>Information and Software Technologies</i>, 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.” <i>Information and Software Technologies</i>,
    edited by Lopata Audrius et al., vol. 1283, Springer, 2020, pp. 368--382, doi:<a
    href="https://doi.org/10.1007/978-3-030-59506-7_30">https://doi.org/10.1007/978-3-030-59506-7_30</a>.'
  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: <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING
    2020</i>. IADIS; 2020:119--123.'
  apa: 'Kersting, J., &#38; Bäumer, F. S. (2020). SEMANTIC TAGGING OF REQUIREMENT
    DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. <i>PROCEEDINGS OF THE INTERNATIONAL
    CONFERENCE ON APPLIED COMPUTING 2020</i>, 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 <i>PROCEEDINGS OF THE INTERNATIONAL
    CONFERENCE ON APPLIED COMPUTING 2020</i>, 119--123. IADIS, 2020.'
  ieee: 'J. Kersting and F. S. Bäumer, “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS:
    A TRANSFORMER-BASED APPROACH,” in <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE
    ON APPLIED COMPUTING 2020</i>, Lisbon, Portugal, 2020, pp. 119--123.'
  mla: 'Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT
    DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” <i>PROCEEDINGS OF THE INTERNATIONAL
    CONFERENCE ON APPLIED COMPUTING 2020</i>, 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: <i>Proceedings of the 12th International Conference on Agents
    and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language
    Processing in Artificial Intelligence (NLPinAI 2020)</i>. Setúbal, Portugal: SCITEPRESS;
    2020:391--400.'
  apa: 'Kersting, J., &#38; Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment
    Analysis with Deep Learning. In <i>Proceedings of the 12th International Conference
    on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural
    Language Processing in Artificial Intelligence (NLPinAI 2020)</i> (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 <i>Proceedings of the 12th International
    Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session
    on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)</i>,
    391--400. Setúbal, Portugal: SCITEPRESS, 2020.'
  ieee: J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis
    with Deep Learning,” in <i>Proceedings of the 12th International Conference on
    Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural
    Language Processing in Artificial Intelligence (NLPinAI 2020)</i>, Valetta, Malta,
    2020, pp. 391--400.
  mla: Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment
    Analysis with Deep Learning.” <i>Proceedings of the 12th International Conference
    on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural
    Language Processing in Artificial Intelligence (NLPinAI 2020)</i>, 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: <i>Proceedings of the 9th International Conference on Pattern
    Recognition Applications and Methods (ICPRAM 2020)</i>. Setúbal, Portugal: SCITEPRESS;
    2020:630--637.'
  apa: 'Buff, B., Kersting, J., &#38; Geierhos, M. (2020). Detection of Privacy Disclosure
    in the Medical Domain: A Survey. In <i>Proceedings of the 9th International Conference
    on Pattern Recognition Applications and Methods (ICPRAM 2020)</i> (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 <i>Proceedings of the 9th International
    Conference on Pattern Recognition Applications and Methods (ICPRAM 2020)</i>,
    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 <i>Proceedings of the 9th International Conference
    on Pattern Recognition Applications and Methods (ICPRAM 2020)</i>, Valetta, Malta,
    2020, pp. 630--637.'
  mla: 'Buff, Bianca, et al. “Detection of Privacy Disclosure in the Medical Domain:
    A Survey.” <i>Proceedings of the 9th International Conference on Pattern Recognition
    Applications and Methods (ICPRAM 2020)</i>, 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: <i>Proceedings of the 33rd International Florida Artificial
    Intelligence Research Symposium (FLAIRS) Conference</i>. North Miami Beach, FL,
    USA: AAAI; 2020:282--285.'
  apa: 'Kersting, J., &#38; Geierhos, M. (2020). Neural Learning for Aspect Phrase
    Extraction and Classification in Sentiment Analysis. In <i>Proceedings of the
    33rd International Florida Artificial Intelligence Research Symposium (FLAIRS)
    Conference</i> (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 <i>Proceedings
    of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS)
    Conference</i>, 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 <i>Proceedings of the 33rd International
    Florida Artificial Intelligence Research Symposium (FLAIRS) Conference</i>, 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.” <i>Proceedings of the 33rd
    International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference</i>,
    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. <i>Evolutionary
    Computation</i>. 2020;28(2):165–193. doi:<a href="https://doi.org/10.1162/evco_a_00266">10.1162/evco_a_00266</a>
  apa: Wever, M. D., van Rooijen, L., &#38; Hamann, H. (2020). Multi-Oracle Coevolutionary
    Learning of Requirements Specifications from Examples in On-The-Fly Markets. <i>Evolutionary
    Computation</i>, <i>28</i>(2), 165–193. <a href="https://doi.org/10.1162/evco_a_00266">https://doi.org/10.1162/evco_a_00266</a>
  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={<a href="https://doi.org/10.1162/evco_a_00266">10.1162/evco_a_00266</a>},
    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.” <i>Evolutionary Computation</i> 28, no. 2 (2020): 165–193. <a href="https://doi.org/10.1162/evco_a_00266">https://doi.org/10.1162/evco_a_00266</a>.'
  ieee: 'M. D. Wever, L. van Rooijen, and H. Hamann, “Multi-Oracle Coevolutionary
    Learning of Requirements Specifications from Examples in On-The-Fly Markets,”
    <i>Evolutionary Computation</i>, vol. 28, no. 2, pp. 165–193, 2020, doi: <a href="https://doi.org/10.1162/evco_a_00266">10.1162/evco_a_00266</a>.'
  mla: Wever, Marcel Dominik, et al. “Multi-Oracle Coevolutionary Learning of Requirements
    Specifications from Examples in On-The-Fly Markets.” <i>Evolutionary Computation</i>,
    vol. 28, no. 2, MIT Press Journals, 2020, pp. 165–193, doi:<a href="https://doi.org/10.1162/evco_a_00266">10.1162/evco_a_00266</a>.
  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: <i>Proceedings of the 9th
    International Conference on Pattern Recognition Applications and Methods</i>.
    Setúbal, Portugal: SCITEPRESS; 2020:263--272.'
  apa: 'Kersting, J., &#38; Geierhos, M. (2020). What Reviews in Local Online Labour
    Markets Reveal about the Performance of Multi-Service Providers. In <i>Proceedings
    of the 9th International Conference on Pattern Recognition Applications and Methods</i>
    (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 <i>Proceedings
    of the 9th International Conference on Pattern Recognition Applications and Methods</i>,
    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 <i>Proceedings of
    the 9th International Conference on Pattern Recognition Applications and Methods</i>,
    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.” <i>Proceedings
    of the 9th International Conference on Pattern Recognition Applications and Methods</i>,
    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. <i>Business &#38; Information Systems Engineering</i>.
    2020;62(6):467-481. doi:<a href="https://doi.org/10.1007/s12599-019-00627-x">10.1007/s12599-019-00627-x</a>'
  apa: 'Karl, H., Kundisch, D., Meyer auf der Heide, F., &#38; Wehrheim, H. (2020).
    A Case for a New IT Ecosystem: On-The-Fly Computing. <i>Business &#38; Information
    Systems Engineering</i>, <i>62</i>(6), 467–481. <a href="https://doi.org/10.1007/s12599-019-00627-x">https://doi.org/10.1007/s12599-019-00627-x</a>'
  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={<a href="https://doi.org/10.1007/s12599-019-00627-x">10.1007/s12599-019-00627-x</a>},
    number={6}, journal={Business &#38; 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.” <i>Business &#38;
    Information Systems Engineering</i> 62, no. 6 (2020): 467–81. <a href="https://doi.org/10.1007/s12599-019-00627-x">https://doi.org/10.1007/s12599-019-00627-x</a>.'
  ieee: 'H. Karl, D. Kundisch, F. Meyer auf der Heide, and H. Wehrheim, “A Case for
    a New IT Ecosystem: On-The-Fly Computing,” <i>Business &#38; Information Systems
    Engineering</i>, vol. 62, no. 6, pp. 467–481, 2020, doi: <a href="https://doi.org/10.1007/s12599-019-00627-x">10.1007/s12599-019-00627-x</a>.'
  mla: 'Karl, Holger, et al. “A Case for a New IT Ecosystem: On-The-Fly Computing.”
    <i>Business &#38; Information Systems Engineering</i>, vol. 62, no. 6, Springer,
    2020, pp. 467–81, doi:<a href="https://doi.org/10.1007/s12599-019-00627-x">10.1007/s12599-019-00627-x</a>.'
  short: H. Karl, D. Kundisch, F. Meyer auf der Heide, H. Wehrheim, Business &#38;
    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: <i>Proceedings
    of the Fourth Workshop on Natural Language Processing and Computational Social
    Science</i>. ; 2020:149-154.'
  apa: Chen, W.-F., Al-Khatib, K., Wachsmuth, H., &#38; Stein, B. (2020). Analyzing
    Political Bias and Unfairness in News Articles at Different Levels of Granularity.
    <i>Proceedings of the Fourth Workshop on Natural Language Processing and Computational
    Social Science</i>, 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 <i>Proceedings of the Fourth Workshop on Natural Language Processing and Computational
    Social Science</i>, 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 <i>Proceedings
    of the Fourth Workshop on Natural Language Processing and Computational Social
    Science</i>, 2020, pp. 149–154.
  mla: Chen, Wei-Fan, et al. “Analyzing Political Bias and Unfairness in News Articles
    at Different Levels of Granularity.” <i>Proceedings of the Fourth Workshop on
    Natural Language Processing and Computational Social Science</i>, 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: <i>Proceedings of the 13th International
    Conference on Natural Language Generation (INLG 2020)</i>. ; 2020:237-241.'
  apa: 'Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., &#38; Potthast,
    M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. <i>Proceedings
    of the 13th International Conference on Natural Language Generation (INLG 2020)</i>,
    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 <i>Proceedings of the 13th International Conference on Natural Language Generation
    (INLG 2020)</i>, 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 <i>Proceedings of
    the 13th International Conference on Natural Language Generation (INLG 2020)</i>,
    2020, pp. 237–241.'
  mla: 'Syed, Shahbaz, et al. “Task Proposal: Abstractive Snippet Generation for Web
    Pages.” <i>Proceedings of the 13th International Conference on Natural Language
    Generation (INLG 2020)</i>, 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: <i>Findings of the Association
    for Computational Linguistics: EMNLP 2020</i>. ; 2020:4290-4300.'
  apa: 'Chen, W.-F., Al-Khatib, K., Stein, B., &#38; Wachsmuth, H. (2020). Detecting
    Media Bias in News Articles using Gaussian Bias Distributions. <i>Findings of
    the Association for Computational Linguistics: EMNLP 2020</i>, 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 <i>Findings
    of the Association for Computational Linguistics: EMNLP 2020</i>, 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 <i>Findings of the Association
    for Computational Linguistics: EMNLP 2020</i>, 2020, pp. 4290–4300.'
  mla: 'Chen, Wei-Fan, et al. “Detecting Media Bias in News Articles Using Gaussian
    Bias Distributions.” <i>Findings of the Association for Computational Linguistics:
    EMNLP 2020</i>, 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: <i>Proceedings of the Web Conference 2020</i>. ; 2020:1309-1319.'
  apa: Chen, W.-F., Syed, S., Stein, B., Hagen, M., &#38; Potthast, M. (2020). Abstractive
    Snippet Generation. <i>Proceedings of the Web Conference 2020</i>, 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 <i>Proceedings of the Web Conference 2020</i>,
    1309–19, 2020.
  ieee: W.-F. Chen, S. Syed, B. Stein, M. Hagen, and M. Potthast, “Abstractive Snippet
    Generation,” in <i>Proceedings of the Web Conference 2020</i>, 2020, pp. 1309–1319.
  mla: Chen, Wei-Fan, et al. “Abstractive Snippet Generation.” <i>Proceedings of the
    Web Conference 2020</i>, 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: <i>Proceedings of 58th Annual Meeting of the Association
    for Computational Linguistics (ACL 2020)</i>. 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., &#38; Wachsmuth, H. (2020). Target Inference
    in Argument Conclusion Generation. <i>Proceedings of 58th Annual Meeting of the
    Association for Computational Linguistics (ACL 2020)</i>, 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 <i>Proceedings of 58th
    Annual Meeting of the Association for Computational Linguistics (ACL 2020)</i>,
    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 <i>Proceedings of 58th Annual Meeting of the
    Association for Computational Linguistics (ACL 2020)</i>, Seattle, USA, 2020,
    pp. 4334–4345.
  mla: Alshomary, Milad, et al. “Target Inference in Argument Conclusion Generation.”
    <i>Proceedings of 58th Annual Meeting of the Association for Computational Linguistics
    (ACL 2020)</i>, 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: <i>Encyclopedia.Pub</i>.
    Basel, Switzerland: MDPI; 2019.'
  apa: 'Bäumer, F. S., &#38; Geierhos, M. (2019). Requirements Engineering in OTF-Computing.
    In <i>encyclopedia.pub</i>. 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 <i>Encyclopedia.Pub</i>. Basel, Switzerland: MDPI, 2019.'
  ieee: 'F. S. Bäumer and M. Geierhos, “Requirements Engineering in OTF-Computing,”
    in <i>encyclopedia.pub</i>, Basel, Switzerland: MDPI, 2019.'
  mla: Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering in
    OTF-Computing.” <i>Encyclopedia.Pub</i>, 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. <i>Computers</i>. 2019;8(1).
    doi:<a href="https://doi.org/10.3390/computers8010022">10.3390/computers8010022</a>'
  apa: 'Bäumer, F. S., Kersting, J., &#38; Geierhos, M. (2019). Natural Language Processing
    in OTF Computing: Challenges and the Need for Interactive Approaches. <i>Computers</i>,
    <i>8</i>(1). <a href="https://doi.org/10.3390/computers8010022">https://doi.org/10.3390/computers8010022</a>'
  bibtex: '@article{Bäumer_Kersting_Geierhos_2019, title={Natural Language Processing
    in OTF Computing: Challenges and the Need for Interactive Approaches}, volume={8},
    DOI={<a href="https://doi.org/10.3390/computers8010022">10.3390/computers8010022</a>},
    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.” <i>Computers</i> 8, no. 1 (2019). <a href="https://doi.org/10.3390/computers8010022">https://doi.org/10.3390/computers8010022</a>.'
  ieee: 'F. S. Bäumer, J. Kersting, and M. Geierhos, “Natural Language Processing
    in OTF Computing: Challenges and the Need for Interactive Approaches,” <i>Computers</i>,
    vol. 8, no. 1, 2019.'
  mla: 'Bäumer, Frederik Simon, et al. “Natural Language Processing in OTF Computing:
    Challenges and the Need for Interactive Approaches.” <i>Computers</i>, vol. 8,
    no. 1, 22, MDPI AG, Basel, Switzerland, 2019, doi:<a href="https://doi.org/10.3390/computers8010022">10.3390/computers8010022</a>.'
  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. <i>Organic Programming of Dynamic Real-Time Applications</i>. Universität
    Paderborn; 2019.
  apa: Khaluf, L. (2019). <i>Organic Programming of Dynamic Real-Time Applications</i>.
    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. <i>Organic Programming of Dynamic Real-Time Applications</i>.
    Universität Paderborn, 2019.
  ieee: L. Khaluf, <i>Organic Programming of Dynamic Real-Time Applications</i>. Universität
    Paderborn, 2019.
  mla: Khaluf, Lial. <i>Organic Programming of Dynamic Real-Time Applications</i>.
    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. <i>Requirements Engineering im OTF-Computing: Informationsextraktion
    und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis</i>.
    Universität Paderborn; 2019.'
  apa: 'Friesen, E. (2019). <i>Requirements Engineering im OTF-Computing: Informationsextraktion
    und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis</i>.
    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. <i>Requirements Engineering im OTF-Computing: Informationsextraktion
    und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis</i>.
    Universität Paderborn, 2019.'
  ieee: 'E. Friesen, <i>Requirements Engineering im OTF-Computing: Informationsextraktion
    und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis</i>.
    Universität Paderborn, 2019.'
  mla: 'Friesen, Edwin. <i>Requirements Engineering im OTF-Computing: Informationsextraktion
    und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis</i>.
    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: <i>Proceedings
    of the Second Workshop on Natural Language Processing for Internet Freedom</i>.
    ; 2019:76-82.'
  apa: Chen, W.-F., Al-Khatib, K., Hagen, M., Wachsmuth, H., &#38; Stein, B. (2019).
    Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon
    Acquisition. <i>Proceedings of the Second Workshop on Natural Language Processing
    for Internet Freedom</i>, 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 <i>Proceedings of the Second Workshop on Natural
    Language Processing for Internet Freedom</i>, 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 <i>Proceedings of the Second Workshop on Natural Language Processing for Internet
    Freedom</i>, 2019, pp. 76–82.
  mla: Chen, Wei-Fan, et al. “Unraveling the Search Space of Abusive Language in Wikipedia
    with Dynamic Lexicon Acquisition.” <i>Proceedings of the Second Workshop on Natural
    Language Processing for Internet Freedom</i>, 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'
...