---
_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: '25245'
author:
- first_name: Frederik Simon
full_name: Baeumer, Frederik Simon
last_name: Baeumer
- 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: 'Baeumer FS, Dollmann M, Geierhos M. Studying Software Descriptions in SourceForge
and App Stores for a better Understanding of real-life Requirements. In: Sarro Federica,
Shihab E, Nagappan Meiyappan, Platenius MC, Kaimann Daniel, eds. Proceedings
of the 2nd ACM SIGSOFT International Workshop on App Market Analytics. ACM;
2017:19-25.'
apa: Baeumer, F. S., Dollmann, M., & Geierhos, M. (2017). Studying Software
Descriptions in SourceForge and App Stores for a better Understanding of real-life
Requirements. In Federica Sarro, E. Shihab, Meiyappan Nagappan, M. C. Platenius,
& Daniel Kaimann (Eds.), Proceedings of the 2nd ACM SIGSOFT International
Workshop on App Market Analytics (pp. 19–25). ACM.
bibtex: '@inproceedings{Baeumer_Dollmann_Geierhos_2017, place={Paderborn}, title={Studying
Software Descriptions in SourceForge and App Stores for a better Understanding
of real-life Requirements}, booktitle={Proceedings of the 2nd ACM SIGSOFT International
Workshop on App Market Analytics}, publisher={ACM}, author={Baeumer, Frederik
Simon and Dollmann, Markus and Geierhos, Michaela}, editor={Sarro, Federica and
Shihab, Emad and Nagappan, Meiyappan and Platenius, Marie Christin and Kaimann, Daniel},
year={2017}, pages={19–25} }'
chicago: 'Baeumer, Frederik Simon, Markus Dollmann, and Michaela Geierhos. “Studying
Software Descriptions in SourceForge and App Stores for a Better Understanding
of Real-Life Requirements.” In Proceedings of the 2nd ACM SIGSOFT International
Workshop on App Market Analytics, edited by Federica Sarro, Emad Shihab, Meiyappan
Nagappan, Marie Christin Platenius, and Daniel Kaimann, 19–25. Paderborn: ACM,
2017.'
ieee: F. S. Baeumer, M. Dollmann, and M. Geierhos, “Studying Software Descriptions
in SourceForge and App Stores for a better Understanding of real-life Requirements,”
in Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market
Analytics, 2017, pp. 19–25.
mla: Baeumer, Frederik Simon, et al. “Studying Software Descriptions in SourceForge
and App Stores for a Better Understanding of Real-Life Requirements.” Proceedings
of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, edited
by Federica Sarro et al., ACM, 2017, pp. 19–25.
short: 'F.S. Baeumer, M. Dollmann, M. Geierhos, in: Federica Sarro, E. Shihab, Meiyappan
Nagappan, M.C. Platenius, Daniel Kaimann (Eds.), Proceedings of the 2nd ACM SIGSOFT
International Workshop on App Market Analytics, ACM, Paderborn, 2017, pp. 19–25.'
date_created: 2021-10-02T15:05:39Z
date_updated: 2022-01-06T06:56:56Z
department:
- _id: '671'
editor:
- first_name: ' Federica'
full_name: Sarro, Federica
last_name: Sarro
- first_name: Emad
full_name: Shihab, Emad
last_name: Shihab
- first_name: ' Meiyappan'
full_name: Nagappan, Meiyappan
last_name: Nagappan
- first_name: Marie Christin
full_name: Platenius, Marie Christin
last_name: Platenius
- first_name: ' Daniel'
full_name: Kaimann, Daniel
last_name: Kaimann
language:
- iso: eng
page: 19-25
place: Paderborn
publication: Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market
Analytics
publication_status: published
publisher: ACM
status: public
title: Studying Software Descriptions in SourceForge and App Stores for a better Understanding
of real-life Requirements
type: conference
user_id: '71124'
year: '2017'
...
---
_id: '57'
abstract:
- lang: eng
text: 'Users prefer natural language software requirements because of their usability
and accessibility. Many approaches exist to elaborate these requirements and to
support the users during the elicitation process. But there is a lack of adequate
resources, which are needed to train and evaluate approaches for requirement refinement.
We are trying to close this gap by using online available software descriptions
from SourceForge and app stores. Thus, we present two real-life requirements collections
based on online-available software descriptions. Our goal is to show the domain-specific
characteristics of content words describing functional requirements. On the one
hand, we created a semantic role-labeled requirements set, which we use for requirements
classification. On the other hand, we enriched software descriptions with linguistic
features and dependencies to provide evidence for the context-awareness of software
functionalities. '
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- 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: 'Bäumer FS, Dollmann M, Geierhos M. Studying Software Descriptions in SourceForge
and App Stores for a better Understanding of real-life Requirements. In: Sarro
F, Shihab E, Nagappan M, Platenius MC, Kaimann D, eds. Proceedings of the 2nd
ACM SIGSOFT International Workshop on App Market Analytics. New York, NY,
USA: ACM; 2017:19-25. doi:10.1145/3121264.3121269'
apa: 'Bäumer, F. S., Dollmann, M., & Geierhos, M. (2017). Studying Software
Descriptions in SourceForge and App Stores for a better Understanding of real-life
Requirements. In F. Sarro, E. Shihab, M. Nagappan, M. C. Platenius, & D. Kaimann
(Eds.), Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market
Analytics (pp. 19–25). New York, NY, USA: ACM. https://doi.org/10.1145/3121264.3121269'
bibtex: '@inproceedings{Bäumer_Dollmann_Geierhos_2017, place={New York, NY, USA},
title={Studying Software Descriptions in SourceForge and App Stores for a better
Understanding of real-life Requirements}, DOI={10.1145/3121264.3121269},
booktitle={Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market
Analytics}, publisher={ACM}, author={Bäumer, Frederik Simon and Dollmann, Markus
and Geierhos, Michaela}, editor={Sarro, Federica and Shihab, Emad and Nagappan,
Meiyappan and Platenius, Marie Christin and Kaimann, DanielEditors}, year={2017},
pages={19–25} }'
chicago: 'Bäumer, Frederik Simon, Markus Dollmann, and Michaela Geierhos. “Studying
Software Descriptions in SourceForge and App Stores for a Better Understanding
of Real-Life Requirements.” In Proceedings of the 2nd ACM SIGSOFT International
Workshop on App Market Analytics, edited by Federica Sarro, Emad Shihab,
Meiyappan Nagappan, Marie Christin Platenius, and Daniel Kaimann, 19–25. New
York, NY, USA: ACM, 2017. https://doi.org/10.1145/3121264.3121269.'
ieee: F. S. Bäumer, M. Dollmann, and M. Geierhos, “Studying Software Descriptions
in SourceForge and App Stores for a better Understanding of real-life Requirements,”
in Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market
Analytics, Paderborn, Germany, 2017, pp. 19–25.
mla: Bäumer, Frederik Simon, et al. “Studying Software Descriptions in SourceForge
and App Stores for a Better Understanding of Real-Life Requirements.” Proceedings
of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, edited
by Federica Sarro et al., ACM, 2017, pp. 19–25, doi:10.1145/3121264.3121269.
short: 'F.S. Bäumer, M. Dollmann, M. Geierhos, in: F. Sarro, E. Shihab, M. Nagappan,
M.C. Platenius, D. Kaimann (Eds.), Proceedings of the 2nd ACM SIGSOFT International
Workshop on App Market Analytics, ACM, New York, NY, USA, 2017, pp. 19–25.'
conference:
end_date: 2017-09-05
location: Paderborn, Germany
name: 2nd ACM SIGSOFT International Workshop on App Market Analytics
start_date: 2017-09-05
date_created: 2017-10-17T12:41:02Z
date_updated: 2022-01-06T07:02:36Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10.1145/3121264.3121269
editor:
- first_name: 'Federica '
full_name: 'Sarro, Federica '
last_name: Sarro
- first_name: 'Emad '
full_name: 'Shihab, Emad '
last_name: Shihab
- first_name: 'Meiyappan '
full_name: 'Nagappan, Meiyappan '
last_name: Nagappan
- first_name: Marie Christin
full_name: Platenius, Marie Christin
last_name: Platenius
- first_name: Daniel
full_name: Kaimann, Daniel
last_name: Kaimann
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T14:27:00Z
date_updated: 2018-11-02T14:27:00Z
file_id: '5272'
file_name: fsews17wama-wamamainid5.pdf
file_size: 1546837
relation: main_file
success: 1
file_date_updated: 2018-11-02T14:27:00Z
has_accepted_license: '1'
language:
- iso: eng
page: 19-25
place: New York, NY, USA
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 2nd ACM SIGSOFT International Workshop on App Market
Analytics
publication_identifier:
isbn:
- 978-1-4503-5158-4
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: Studying Software Descriptions in SourceForge and App Stores for a better Understanding
of real-life Requirements
type: conference
user_id: '477'
year: '2017'
...
---
_id: '1098'
abstract:
- lang: eng
text: An end user generally writes down software requirements in ambiguous expressions
using natural language; hence, a software developer attuned to programming language
finds it difficult to understand th meaning of the requirements. To solve this
problem we define semantic categories for disambiguation and classify/annotate
the requirement into the categories by using machine-learning models. We extensively
use a language frame closely related to such categories for designing features
to overcome the problem of insufficient training data compare to the large number
of classes. Our proposed model obtained a micro-average F1-score of 0.75, outperforming
the previous model, REaCT.
article_type: original
author:
- first_name: Yeong-Su
full_name: Kim, Yeong-Su
last_name: Kim
- first_name: 'Seung-Woo '
full_name: 'Lee, Seung-Woo '
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-S, Lee S-W, Dollmann M, Geierhos M. Semantic Annotation of Software Requirements
with Language Frame. International Journal of Software Engineering for Smart
Device. 2017;4(2):1-6.
apa: Kim, Y.-S., Lee, S.-W., Dollmann, M., & Geierhos, M. (2017). Semantic Annotation
of Software Requirements with Language Frame. International Journal of Software
Engineering for Smart Device, 4(2), 1–6.
bibtex: '@article{Kim_Lee_Dollmann_Geierhos_2017, title={Semantic Annotation of
Software Requirements with Language Frame}, volume={4}, number={2}, journal={International
Journal of Software Engineering for Smart Device}, publisher={Global Vision School
Publication}, author={Kim, Yeong-Su and Lee, Seung-Woo and Dollmann, Markus and
Geierhos, Michaela}, year={2017}, pages={1–6} }'
chicago: 'Kim, Yeong-Su, Seung-Woo Lee, Markus Dollmann, and Michaela Geierhos.
“Semantic Annotation of Software Requirements with Language Frame.” International
Journal of Software Engineering for Smart Device 4, no. 2 (2017): 1–6.'
ieee: Y.-S. Kim, S.-W. Lee, M. Dollmann, and M. Geierhos, “Semantic Annotation of
Software Requirements with Language Frame,” International Journal of Software
Engineering for Smart Device, vol. 4, no. 2, pp. 1–6, 2017.
mla: Kim, Yeong-Su, et al. “Semantic Annotation of Software Requirements with Language
Frame.” International Journal of Software Engineering for Smart Device,
vol. 4, no. 2, Global Vision School Publication, 2017, pp. 1–6.
short: Y.-S. Kim, S.-W. Lee, M. Dollmann, M. Geierhos, International Journal of
Software Engineering for Smart Device 4 (2017) 1–6.
date_created: 2018-01-25T15:23:15Z
date_updated: 2022-01-06T06:50:55Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-12-12T15:30:59Z
date_updated: 2018-12-12T15:30:59Z
file_id: '6196'
file_name: Semantic_Annotation_of_Software_Requirements.pdf
file_size: 244655
relation: main_file
success: 1
file_date_updated: 2018-12-12T15:30:59Z
has_accepted_license: '1'
intvolume: ' 4'
issue: '2'
keyword:
- Natural Language Processing
- Semantic Annotation
- Machine Learning
language:
- iso: eng
page: 1-6
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 Software Engineering for Smart Device
publication_identifier:
issn:
- 2205-8494
publication_status: published
publisher: Global Vision School Publication
quality_controlled: '1'
status: public
title: Semantic Annotation of Software Requirements with Language Frame
type: journal_article
user_id: '477'
volume: 4
year: '2017'
...
---
_id: '197'
author:
- first_name: Markus
full_name: Dollmann, Markus
id: '27578'
last_name: Dollmann
citation:
ama: 'Dollmann M. Frag die Anwender: Extraktion und Klassifikation von funktionalen
Softwareanforderungen aus User-Generated-Content. Universität Paderborn; 2016.'
apa: 'Dollmann, M. (2016). Frag die Anwender: Extraktion und Klassifikation von
funktionalen Softwareanforderungen aus User-Generated-Content. Universität
Paderborn.'
bibtex: '@book{Dollmann_2016, title={Frag die Anwender: Extraktion und Klassifikation
von funktionalen Softwareanforderungen aus User-Generated-Content}, publisher={Universität
Paderborn}, author={Dollmann, Markus}, year={2016} }'
chicago: 'Dollmann, Markus. Frag die Anwender: Extraktion und Klassifikation
von funktionalen Softwareanforderungen aus User-Generated-Content. Universität
Paderborn, 2016.'
ieee: 'M. Dollmann, Frag die Anwender: Extraktion und Klassifikation von funktionalen
Softwareanforderungen aus User-Generated-Content. Universität Paderborn, 2016.'
mla: 'Dollmann, Markus. Frag die Anwender: Extraktion und Klassifikation von
funktionalen Softwareanforderungen aus User-Generated-Content. Universität
Paderborn, 2016.'
short: 'M. Dollmann, Frag die Anwender: Extraktion und Klassifikation von funktionalen
Softwareanforderungen aus User-Generated-Content, Universität Paderborn, 2016.'
date_created: 2017-10-17T12:41:30Z
date_updated: 2022-01-06T06:54:10Z
language:
- iso: ger
project:
- _id: '1'
name: SFB 901
- _id: '9'
name: SFB 901 - Subprojekt B1
- _id: '3'
name: SFB 901 - Project Area B
publisher: Universität Paderborn
status: public
title: 'Frag die Anwender: Extraktion und Klassifikation von funktionalen Softwareanforderungen
aus User-Generated-Content'
type: mastersthesis
user_id: '477'
year: '2016'
...
---
_id: '176'
abstract:
- lang: eng
text: Users prefer natural language software requirements because of their usability
and accessibility. When they describe their wishes for software development, they
often provide off-topic information. We therefore present an automated approach
for identifying and semantically annotating the on-topic parts of the given descriptions.
It is designed to support requirement engineers in the requirement elicitation
process on detecting and analyzing requirements in user-generated content. Since
no lexical resources with domain-specific information about requirements are available,
we created a corpus of requirements written in controlled language by instructed
users and uncontrolled language by uninstructed users. We annotated these requirements
regarding predicate-argument structures, conditions, priorities, motivations and
semantic roles and used this information to train classifiers for information
extraction purposes. The approach achieves an accuracy of 92% for the on- and
off-topic classification task and an F1-measure of 72% for the semantic annotation.
author:
- 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: 'Dollmann M, Geierhos M. On- and Off-Topic Classification and Semantic Annotation
of User-Generated Software Requirements. In: Proceedings of the 2016 Conference
on Empirical Methods in Natural Language Processing (EMNLP). Austin, TX, USA:
Association for Computational Linguistics (ACL); 2016:1807-1816.'
apa: 'Dollmann, M., & Geierhos, M. (2016). On- and Off-Topic Classification
and Semantic Annotation of User-Generated Software Requirements. In Proceedings
of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP)
(pp. 1807–1816). Austin, TX, USA: Association for Computational Linguistics (ACL).'
bibtex: '@inproceedings{Dollmann_Geierhos_2016, place={Austin, TX, USA}, title={On-
and Off-Topic Classification and Semantic Annotation of User-Generated Software
Requirements}, booktitle={Proceedings of the 2016 Conference on Empirical Methods
in Natural Language Processing (EMNLP)}, publisher={Association for Computational
Linguistics (ACL)}, author={Dollmann, Markus and Geierhos, Michaela}, year={2016},
pages={1807–1816} }'
chicago: 'Dollmann, Markus, and Michaela Geierhos. “On- and Off-Topic Classification
and Semantic Annotation of User-Generated Software Requirements.” In Proceedings
of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP),
1807–16. Austin, TX, USA: Association for Computational Linguistics (ACL), 2016.'
ieee: M. Dollmann and M. Geierhos, “On- and Off-Topic Classification and Semantic
Annotation of User-Generated Software Requirements,” in Proceedings of the
2016 Conference on Empirical Methods in Natural Language Processing (EMNLP),
Austin, TX, USA, 2016, pp. 1807–1816.
mla: Dollmann, Markus, and Michaela Geierhos. “On- and Off-Topic Classification
and Semantic Annotation of User-Generated Software Requirements.” Proceedings
of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP),
Association for Computational Linguistics (ACL), 2016, pp. 1807–16.
short: 'M. Dollmann, M. Geierhos, in: Proceedings of the 2016 Conference on Empirical
Methods in Natural Language Processing (EMNLP), Association for Computational
Linguistics (ACL), Austin, TX, USA, 2016, pp. 1807–1816.'
conference:
end_date: 2016-11-05
location: Austin, TX, USA
name: Conference on Empirical Methods in Natural Language Processing (EMNLP 2016)
start_date: 2016-11-01
date_created: 2017-10-17T12:41:26Z
date_updated: 2022-01-06T06:53:15Z
ddc:
- '040'
department:
- _id: '36'
- _id: '1'
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T12:33:48Z
date_updated: 2018-03-21T12:33:48Z
file_id: '1535'
file_name: 176-D16-1186.pdf
file_size: 259495
relation: main_file
success: 1
file_date_updated: 2018-03-21T12:33:48Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.aclweb.org/anthology/D16-1186
oa: '1'
page: 1807-1816
place: Austin, TX, USA
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 2016 Conference on Empirical Methods in Natural Language
Processing (EMNLP)
publication_status: published
publisher: Association for Computational Linguistics (ACL)
quality_controlled: '1'
status: public
title: On- and Off-Topic Classification and Semantic Annotation of User-Generated
Software Requirements
type: conference
user_id: '15504'
year: '2016'
...
---
_id: '25409'
author:
- first_name: Frederik Simon
full_name: Baeumer, Frederik Simon
last_name: Baeumer
- 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: 'Baeumer FS, Dollmann M, Geierhos M. Find a Physician by Matching Medical Needs
described in your Own Words. In: Vol 63. Elsevier; 2015:417-424.'
apa: Baeumer, F. S., Dollmann, M., & Geierhos, M. (2015). Find a Physician
by Matching Medical Needs described in your Own Words. 63, 417–424.
bibtex: '@inproceedings{Baeumer_Dollmann_Geierhos_2015, place={Berlin}, title={Find
a Physician by Matching Medical Needs described in your Own Words}, volume={63},
publisher={Elsevier}, author={Baeumer, Frederik Simon and Dollmann, Markus and
Geierhos, Michaela}, year={2015}, pages={417–424} }'
chicago: 'Baeumer, Frederik Simon, Markus Dollmann, and Michaela Geierhos. “Find
a Physician by Matching Medical Needs Described in Your Own Words,” 63:417–24.
Berlin: Elsevier, 2015.'
ieee: F. S. Baeumer, M. Dollmann, and M. Geierhos, “Find a Physician by Matching
Medical Needs described in your Own Words,” 2015, vol. 63, pp. 417–424.
mla: Baeumer, Frederik Simon, et al. Find a Physician by Matching Medical Needs
Described in Your Own Words. Elsevier, 2015, pp. 417–24.
short: 'F.S. Baeumer, M. Dollmann, M. Geierhos, in: Elsevier, Berlin, 2015, pp.
417–424.'
conference:
name: ' 5th International Conference on Current and Future Trends of Information
and Communication Technologies in Healthcare (ICTH 2015)'
date_created: 2021-10-04T23:48:15Z
date_updated: 2022-01-06T06:57:03Z
department:
- _id: '671'
intvolume: ' 63'
language:
- iso: eng
page: 417-424
place: Berlin
publication_identifier:
issn:
- 1877-0509
publisher: Elsevier
status: public
title: Find a Physician by Matching Medical Needs described in your Own Words
type: conference
user_id: '71124'
volume: 63
year: '2015'
...
---
_id: '1148'
abstract:
- lang: eng
text: The individual search for information about physicians on Web 2.0 platforms
can affect almost all aspects of our lives. People can directly access physician
rating websites via web browsers or use any search engine to find physician reviews
and ratings filtered by location resp. specialty. However, sometimes keyword search
does not meet user needs because of the disagreement of users’ common terms queries
for symptoms and the widespread medical terminology. In this paper, we present
the prototype of a specialised search engine that overcomes this by indexing user-generated
content (i.e., review texts) for physician discovery and provides automatic suggestions
as well as an appropriate visualisation. On the one hand, we consider the available
numeric physician ratings as sorting criterion for the ranking of query results.
Furthermore, we extended existing ranking algorithms with respect to domain-specific
types and physicians ratings on the other hand. We gathered more than 860,000
review texts and collected more than 213,000 physician records. A random test
shows that about 19.7% of 5,100 different words in total are health- related and
partly belong to consumer health vocabularies. Our evaluation results show that
the query results fit user's particular health issues when seeking for physicians.
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- 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: 'Bäumer FS, Dollmann M, Geierhos M. Find a Physician by Matching Medical Needs
described in your Own Words. In: Shakshuki EM, ed. The 6th International Conference
on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2015) / The 5th International
Conference on Current and Future Trends of Information and Communication Technologies
in Healthcare (ICTH-2015) / Affiliated Workshops. Vol 63. Procedia Computer
Science. Amsterdam, The Netherlands: Elsevier; 2015:417-424. doi:10.1016/j.procs.2015.08.362'
apa: 'Bäumer, F. S., Dollmann, M., & Geierhos, M. (2015). Find a Physician by
Matching Medical Needs described in your Own Words. In E. M. Shakshuki (Ed.),
The 6th International Conference on Emerging Ubiquitous Systems and Pervasive
Networks (EUSPN 2015) / The 5th International Conference on Current and Future
Trends of Information and Communication Technologies in Healthcare (ICTH-2015)
/ Affiliated Workshops (Vol. 63, pp. 417–424). Amsterdam, The Netherlands:
Elsevier. https://doi.org/10.1016/j.procs.2015.08.362'
bibtex: '@inproceedings{Bäumer_Dollmann_Geierhos_2015, place={Amsterdam, The Netherlands},
series={Procedia Computer Science}, title={Find a Physician by Matching Medical
Needs described in your Own Words}, volume={63}, DOI={10.1016/j.procs.2015.08.362},
booktitle={The 6th International Conference on Emerging Ubiquitous Systems and
Pervasive Networks (EUSPN 2015) / The 5th International Conference on Current
and Future Trends of Information and Communication Technologies in Healthcare
(ICTH-2015) / Affiliated Workshops}, publisher={Elsevier}, author={Bäumer, Frederik
Simon and Dollmann, Markus and Geierhos, Michaela}, editor={Shakshuki, Elhadi
M.Editor}, year={2015}, pages={417–424}, collection={Procedia Computer Science}
}'
chicago: 'Bäumer, Frederik Simon, Markus Dollmann, and Michaela Geierhos. “Find
a Physician by Matching Medical Needs Described in Your Own Words.” In The
6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks
(EUSPN 2015) / The 5th International Conference on Current and Future Trends of
Information and Communication Technologies in Healthcare (ICTH-2015) / Affiliated
Workshops, edited by Elhadi M. Shakshuki, 63:417–24. Procedia Computer Science.
Amsterdam, The Netherlands: Elsevier, 2015. https://doi.org/10.1016/j.procs.2015.08.362.'
ieee: F. S. Bäumer, M. Dollmann, and M. Geierhos, “Find a Physician by Matching
Medical Needs described in your Own Words,” in The 6th International Conference
on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2015) / The 5th International
Conference on Current and Future Trends of Information and Communication Technologies
in Healthcare (ICTH-2015) / Affiliated Workshops, Berlin, Germany, 2015, vol.
63, pp. 417–424.
mla: Bäumer, Frederik Simon, et al. “Find a Physician by Matching Medical Needs
Described in Your Own Words.” The 6th International Conference on Emerging
Ubiquitous Systems and Pervasive Networks (EUSPN 2015) / The 5th International
Conference on Current and Future Trends of Information and Communication Technologies
in Healthcare (ICTH-2015) / Affiliated Workshops, edited by Elhadi M. Shakshuki,
vol. 63, Elsevier, 2015, pp. 417–24, doi:10.1016/j.procs.2015.08.362.
short: 'F.S. Bäumer, M. Dollmann, M. Geierhos, in: E.M. Shakshuki (Ed.), The 6th
International Conference on Emerging Ubiquitous Systems and Pervasive Networks
(EUSPN 2015) / The 5th International Conference on Current and Future Trends of
Information and Communication Technologies in Healthcare (ICTH-2015) / Affiliated
Workshops, Elsevier, Amsterdam, The Netherlands, 2015, pp. 417–424.'
conference:
end_date: 2015-09-30
location: Berlin, Germany
name: 5th International Conference on Current and Future Trends of Information and
Communication Technologies in Healthcare (ICTH 2015)
start_date: 2015-09-27
date_created: 2018-01-31T11:49:59Z
date_updated: 2022-01-06T06:51:01Z
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10.1016/j.procs.2015.08.362
editor:
- first_name: Elhadi M.
full_name: Shakshuki, Elhadi M.
last_name: Shakshuki
intvolume: ' 63'
keyword:
- Physician Discovery
- Consumer Health Vocabulary
- Common Terms Query
language:
- iso: eng
page: 417-424
place: Amsterdam, The Netherlands
publication: The 6th International Conference on Emerging Ubiquitous Systems and Pervasive
Networks (EUSPN 2015) / The 5th International Conference on Current and Future Trends
of Information and Communication Technologies in Healthcare (ICTH-2015) / Affiliated
Workshops
publication_identifier:
issn:
- '18770509'
publication_status: published
publisher: Elsevier
quality_controlled: '1'
series_title: Procedia Computer Science
status: public
title: Find a Physician by Matching Medical Needs described in your Own Words
type: conference
user_id: '42496'
volume: 63
year: '2015'
...
---
_id: '1135'
abstract:
- lang: eng
text: 'In this paper, we describe our system developed for the GErman SenTiment
AnaLysis shared Task (GESTALT) for participation in the Maintask 2: Subjective
Phrase and Aspect Extraction from Product Reviews. We present a tool, which identifies
subjective and aspect phrases in German product reviews. For the recognition of
subjective phrases, we pursue a lexicon-based approach. For the extraction of
aspect phrases from the reviews, we consider two possible ways: Besides the subjectivity
and aspect look-up, we also implemented a method to establish which subjective
phrase belongs to which aspect. The system achieves better results for the recognition
of aspect phrases than for the subjective identification.'
author:
- 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: 'Dollmann M, Geierhos M. SentiBA: Lexicon-based Sentiment Analysis on German
Product Reviews. In: Faaß G, Ruppenhofer J, eds. Workshop Proceedings of the
12th Edition of the KONVENS Conference. Hildesheim, Germany: Universitätsverlag
Hildesheim; 2014:185-191.'
apa: 'Dollmann, M., & Geierhos, M. (2014). SentiBA: Lexicon-based Sentiment
Analysis on German Product Reviews. In G. Faaß & J. Ruppenhofer (Eds.), Workshop
Proceedings of the 12th Edition of the KONVENS Conference (pp. 185–191). Hildesheim,
Germany: Universitätsverlag Hildesheim.'
bibtex: '@inproceedings{Dollmann_Geierhos_2014, place={Hildesheim, Germany}, title={SentiBA:
Lexicon-based Sentiment Analysis on German Product Reviews}, booktitle={Workshop
Proceedings of the 12th Edition of the KONVENS Conference}, publisher={Universitätsverlag
Hildesheim}, author={Dollmann, Markus and Geierhos, Michaela}, editor={Faaß, Gertrud
and Ruppenhofer, JosefEditors}, year={2014}, pages={185–191} }'
chicago: 'Dollmann, Markus, and Michaela Geierhos. “SentiBA: Lexicon-Based Sentiment
Analysis on German Product Reviews.” In Workshop Proceedings of the 12th Edition
of the KONVENS Conference, edited by Gertrud Faaß and Josef Ruppenhofer, 185–91.
Hildesheim, Germany: Universitätsverlag Hildesheim, 2014.'
ieee: 'M. Dollmann and M. Geierhos, “SentiBA: Lexicon-based Sentiment Analysis on
German Product Reviews,” in Workshop Proceedings of the 12th Edition of the
KONVENS Conference, Hildesheim, Germany, 2014, pp. 185–191.'
mla: 'Dollmann, Markus, and Michaela Geierhos. “SentiBA: Lexicon-Based Sentiment
Analysis on German Product Reviews.” Workshop Proceedings of the 12th Edition
of the KONVENS Conference, edited by Gertrud Faaß and Josef Ruppenhofer, Universitätsverlag
Hildesheim, 2014, pp. 185–91.'
short: 'M. Dollmann, M. Geierhos, in: G. Faaß, J. Ruppenhofer (Eds.), Workshop Proceedings
of the 12th Edition of the KONVENS Conference, Universitätsverlag Hildesheim,
Hildesheim, Germany, 2014, pp. 185–191.'
conference:
end_date: 2014-10-10
location: Hildesheim, Germany
name: 12th Konferenz zur Verarbeitung Natürlicher Sprache (KONVENS 2014)
start_date: 2014-10-08
date_created: 2018-01-30T15:46:56Z
date_updated: 2022-01-06T06:50:59Z
department:
- _id: '36'
- _id: '1'
- _id: '579'
editor:
- first_name: Gertrud
full_name: Faaß, Gertrud
last_name: Faaß
- first_name: Josef
full_name: Ruppenhofer, Josef
last_name: Ruppenhofer
keyword:
- corpus linguistics
- sentiment analysis
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://hildok.bsz-bw.de/files/297/04_03.pdf
oa: '1'
page: 185-191
place: Hildesheim, Germany
publication: Workshop Proceedings of the 12th Edition of the KONVENS Conference
publication_identifier:
isbn:
- 978-3-934105-47-8
publication_status: published
publisher: Universitätsverlag Hildesheim
quality_controlled: '1'
status: public
title: 'SentiBA: Lexicon-based Sentiment Analysis on German Product Reviews'
type: conference
user_id: '42496'
year: '2014'
...