---
_id: '45882'
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
citation:
ama: 'Bäumer FS, Chen W-F, Geierhos M, Kersting J, Wachsmuth H. Dialogue-based Requirement
Compensation and Style-adjusted Data-to-text Generation. In: Haake C-J, Meyer
auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing
-- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe
des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:65-84.
doi:10.5281/zenodo.8068456'
apa: Bäumer, F. S., Chen, W.-F., Geierhos, M., Kersting, J., & Wachsmuth, H.
(2023). Dialogue-based Requirement Compensation and Style-adjusted Data-to-text
Generation. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth,
& H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services
in dynamic markets (Vol. 412, pp. 65–84). Heinz Nixdorf Institut, Universität
Paderborn. https://doi.org/10.5281/zenodo.8068456
bibtex: '@inbook{Bäumer_Chen_Geierhos_Kersting_Wachsmuth_2023, place={Paderborn},
series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Dialogue-based
Requirement Compensation and Style-adjusted Data-to-text Generation}, volume={412},
DOI={10.5281/zenodo.8068456},
booktitle={On-The-Fly Computing -- Individualized IT-services in dynamic markets},
publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Bäumer, Frederik
Simon and Chen, Wei-Fan and Geierhos, Michaela and Kersting, Joschka and Wachsmuth,
Henning}, editor={Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner,
Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023}, pages={65–84},
collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }'
chicago: 'Bäumer, Frederik Simon, Wei-Fan Chen, Michaela Geierhos, Joschka Kersting,
and Henning Wachsmuth. “Dialogue-Based Requirement Compensation and Style-Adjusted
Data-to-Text Generation.” In On-The-Fly Computing -- Individualized IT-Services
in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der
Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:65–84. Verlagsschriftenreihe
Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn,
2023. https://doi.org/10.5281/zenodo.8068456.'
ieee: 'F. S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, and H. Wachsmuth, “Dialogue-based
Requirement Compensation and Style-adjusted Data-to-text Generation,” in On-The-Fly
Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J.
Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds.
Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84.'
mla: Bäumer, Frederik Simon, et al. “Dialogue-Based Requirement Compensation and
Style-Adjusted Data-to-Text Generation.” On-The-Fly Computing -- Individualized
IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol.
412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84, doi:10.5281/zenodo.8068456.
short: 'F.S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, H. Wachsmuth, in: C.-J.
Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.),
On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf
Institut, Universität Paderborn, Paderborn, 2023, pp. 65–84.'
date_created: 2023-07-07T07:29:13Z
date_updated: 2023-07-07T11:20:52Z
ddc:
- '004'
department:
- _id: '7'
- _id: '369'
doi: 10.5281/zenodo.8068456
editor:
- first_name: Claus-Jochen
full_name: Haake, Claus-Jochen
last_name: Haake
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
last_name: Meyer auf der Heide
- first_name: Marco
full_name: Platzner, Marco
last_name: Platzner
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
- first_name: Heike
full_name: Wehrheim, Heike
last_name: Wehrheim
file:
- access_level: open_access
content_type: application/pdf
creator: florida
date_created: 2023-07-07T07:28:58Z
date_updated: 2023-07-07T11:20:52Z
file_id: '45883'
file_name: B1-Chapter-SFB-Buch-Final.pdf
file_size: 1342718
relation: main_file
file_date_updated: 2023-07-07T11:20:52Z
has_accepted_license: '1'
intvolume: ' 412'
language:
- iso: eng
oa: '1'
page: 65-84
place: Paderborn
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
publication: On-The-Fly Computing -- Individualized IT-services in dynamic markets
publisher: Heinz Nixdorf Institut, Universität Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
title: Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation
type: book_chapter
user_id: '477'
volume: 412
year: '2023'
...
---
_id: '33274'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Mei-Hua
full_name: Chen, Mei-Hua
last_name: Chen
- first_name: Garima
full_name: Mudgal, Garima
last_name: Mudgal
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Chen W-F, Chen M-H, Mudgal G, Wachsmuth H. Analyzing Culture-Specific Argument
Structures in Learner Essays. In: Proceedings of the 9th Workshop on Argument
Mining (ArgMining 2022). ; 2022:51-61.'
apa: Chen, W.-F., Chen, M.-H., Mudgal, G., & Wachsmuth, H. (2022). Analyzing
Culture-Specific Argument Structures in Learner Essays. Proceedings of the
9th Workshop on Argument Mining (ArgMining 2022), 51–61.
bibtex: '@inproceedings{Chen_Chen_Mudgal_Wachsmuth_2022, title={Analyzing Culture-Specific
Argument Structures in Learner Essays}, booktitle={Proceedings of the 9th Workshop
on Argument Mining (ArgMining 2022)}, author={Chen, Wei-Fan and Chen, Mei-Hua
and Mudgal, Garima and Wachsmuth, Henning}, year={2022}, pages={51–61} }'
chicago: Chen, Wei-Fan, Mei-Hua Chen, Garima Mudgal, and Henning Wachsmuth. “Analyzing
Culture-Specific Argument Structures in Learner Essays.” In Proceedings of
the 9th Workshop on Argument Mining (ArgMining 2022), 51–61, 2022.
ieee: W.-F. Chen, M.-H. Chen, G. Mudgal, and H. Wachsmuth, “Analyzing Culture-Specific
Argument Structures in Learner Essays,” in Proceedings of the 9th Workshop
on Argument Mining (ArgMining 2022), 2022, pp. 51–61.
mla: Chen, Wei-Fan, et al. “Analyzing Culture-Specific Argument Structures in Learner
Essays.” Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022),
2022, pp. 51–61.
short: 'W.-F. Chen, M.-H. Chen, G. Mudgal, H. Wachsmuth, in: Proceedings of the
9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.'
date_created: 2022-09-06T13:51:23Z
date_updated: 2022-11-18T09:56:17Z
department:
- _id: '600'
language:
- iso: eng
page: 51 - 61
project:
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
publication: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)
status: public
title: Analyzing Culture-Specific Argument Structures in Learner Essays
type: conference
user_id: '477'
year: '2022'
...
---
_id: '31068'
author:
- first_name: Mei-Hua
full_name: Chen, Mei-Hua
last_name: Chen
- first_name: Garima
full_name: Mudgal, Garima
last_name: Mudgal
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Chen M-H, Mudgal G, Chen W-F, Wachsmuth H. Investigating the argumentation
structures of EFL learners from diverse language backgrounds. In: EUROCALL.
; 2022.'
apa: Chen, M.-H., Mudgal, G., Chen, W.-F., & Wachsmuth, H. (2022). Investigating
the argumentation structures of EFL learners from diverse language backgrounds.
EUROCALL.
bibtex: '@inproceedings{Chen_Mudgal_Chen_Wachsmuth_2022, title={Investigating the
argumentation structures of EFL learners from diverse language backgrounds}, booktitle={EUROCALL},
author={Chen, Mei-Hua and Mudgal, Garima and Chen, Wei-Fan and Wachsmuth, Henning},
year={2022} }'
chicago: Chen, Mei-Hua, Garima Mudgal, Wei-Fan Chen, and Henning Wachsmuth. “Investigating
the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.”
In EUROCALL, 2022.
ieee: M.-H. Chen, G. Mudgal, W.-F. Chen, and H. Wachsmuth, “Investigating the argumentation
structures of EFL learners from diverse language backgrounds,” 2022.
mla: Chen, Mei-Hua, et al. “Investigating the Argumentation Structures of EFL Learners
from Diverse Language Backgrounds.” EUROCALL, 2022.
short: 'M.-H. Chen, G. Mudgal, W.-F. Chen, H. Wachsmuth, in: EUROCALL, 2022.'
date_created: 2022-05-05T07:50:21Z
date_updated: 2022-05-09T14:58:39Z
department:
- _id: '600'
language:
- iso: eng
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: EUROCALL
status: public
title: Investigating the argumentation structures of EFL learners from diverse language
backgrounds
type: conference_abstract
user_id: '82920'
year: '2022'
...
---
_id: '23709'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Khalid
full_name: Al Khatib, Khalid
last_name: Al Khatib
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Chen W-F, Al Khatib K, Stein B, Wachsmuth H. Controlled Neural Sentence-Level
Reframing of News Articles. In: Findings of the Association for Computational
Linguistics: EMNLP 2021. ; 2021:2683-2693.'
apa: 'Chen, W.-F., Al Khatib, K., Stein, B., & Wachsmuth, H. (2021). Controlled
Neural Sentence-Level Reframing of News Articles. Findings of the Association
for Computational Linguistics: EMNLP 2021, 2683–2693.'
bibtex: '@inproceedings{Chen_Al Khatib_Stein_Wachsmuth_2021, title={Controlled Neural
Sentence-Level Reframing of News Articles}, booktitle={Findings of the Association
for Computational Linguistics: EMNLP 2021}, author={Chen, Wei-Fan and Al Khatib,
Khalid and Stein, Benno and Wachsmuth, Henning}, year={2021}, pages={2683–2693}
}'
chicago: 'Chen, Wei-Fan, Khalid Al Khatib, Benno Stein, and Henning Wachsmuth. “Controlled
Neural Sentence-Level Reframing of News Articles.” In Findings of the Association
for Computational Linguistics: EMNLP 2021, 2683–93, 2021.'
ieee: 'W.-F. Chen, K. Al Khatib, B. Stein, and H. Wachsmuth, “Controlled Neural
Sentence-Level Reframing of News Articles,” in Findings of the Association
for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.'
mla: 'Chen, Wei-Fan, et al. “Controlled Neural Sentence-Level Reframing of News
Articles.” Findings of the Association for Computational Linguistics: EMNLP
2021, 2021, pp. 2683–93.'
short: 'W.-F. Chen, K. Al Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association
for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.'
date_created: 2021-09-02T20:09:20Z
date_updated: 2022-05-09T15:00:09Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.findings-emnlp.228.pdf
page: 2683 - 2693
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: 'Findings of the Association for Computational Linguistics: EMNLP 2021'
status: public
title: Controlled Neural Sentence-Level Reframing of News Articles
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '21178'
abstract:
- lang: eng
text: "When engaging in argumentative discourse, skilled human debaters tailor\r\nclaims
to the beliefs of the audience, to construct effective arguments.\r\nRecently,
the field of computational argumentation witnessed extensive effort\r\nto address
the automatic generation of arguments. However, existing approaches\r\ndo not
perform any audience-specific adaptation. In this work, we aim to bridge\r\nthis
gap by studying the task of belief-based claim generation: Given a\r\ncontroversial
topic and a set of beliefs, generate an argumentative claim\r\ntailored to the
beliefs. To tackle this task, we model the people's prior\r\nbeliefs through their
stances on controversial topics and extend\r\nstate-of-the-art text generation
models to generate claims conditioned on the\r\nbeliefs. Our automatic evaluation
confirms the ability of our approach to adapt\r\nclaims to a set of given beliefs.
In a manual study, we additionally evaluate\r\nthe generated claims in terms of
informativeness and their likelihood to be\r\nuttered by someone with a respective
belief. Our results reveal the limitations\r\nof modeling users' beliefs based
on their stances, but demonstrate the\r\npotential of encoding beliefs into argumentative
texts, laying the ground for\r\nfuture exploration of audience reach."
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Timon
full_name: Gurcke, Timon
id: '52174'
last_name: Gurcke
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Alshomary M, Chen W-F, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative
Claims. In: Proceedings of the 16th Conference of the European Chapter of the
Association for Computational Linguistics: Main Volume. Association for Computational
Linguistics; 2021:224-233. doi:10.18653/v1/2021.eacl-main.17'
apa: 'Alshomary, M., Chen, W.-F., Gurcke, T., & Wachsmuth, H. (2021). Belief-based
Generation of Argumentative Claims. Proceedings of the 16th Conference of the
European Chapter of the Association for Computational Linguistics: Main Volume,
224–233. https://doi.org/10.18653/v1/2021.eacl-main.17'
bibtex: '@inproceedings{Alshomary_Chen_Gurcke_Wachsmuth_2021, title={Belief-based
Generation of Argumentative Claims}, DOI={10.18653/v1/2021.eacl-main.17},
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 Proceedings of the 16th Conference
of the European Chapter of the Association for Computational Linguistics: Main
Volume, 224–33. Association for Computational Linguistics, 2021. https://doi.org/10.18653/v1/2021.eacl-main.17.'
ieee: 'M. Alshomary, W.-F. Chen, T. Gurcke, and H. Wachsmuth, “Belief-based Generation
of Argumentative Claims,” in Proceedings of the 16th Conference of the European
Chapter of the Association for Computational Linguistics: Main Volume, Online,
2021, pp. 224–233, doi: 10.18653/v1/2021.eacl-main.17.'
mla: 'Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.”
Proceedings of the 16th Conference of the European Chapter of the Association
for Computational Linguistics: Main Volume, Association for Computational
Linguistics, 2021, pp. 224–33, doi:10.18653/v1/2021.eacl-main.17.'
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: '3776'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Khalid
full_name: Al-Khatib, Khalid
last_name: Al-Khatib
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Chen W-F, Al-Khatib K, Wachsmuth H, Stein B. Analyzing Political Bias and
Unfairness in News Articles at Different Levels of Granularity. In: Proceedings
of the Fourth Workshop on Natural Language Processing and Computational Social
Science. ; 2020:149-154.'
apa: Chen, W.-F., Al-Khatib, K., Wachsmuth, H., & Stein, B. (2020). Analyzing
Political Bias and Unfairness in News Articles at Different Levels of Granularity.
Proceedings of the Fourth Workshop on Natural Language Processing and Computational
Social Science, 149–154.
bibtex: '@inproceedings{Chen_Al-Khatib_Wachsmuth_Stein_2020, title={Analyzing Political
Bias and Unfairness in News Articles at Different Levels of Granularity}, booktitle={Proceedings
of the Fourth Workshop on Natural Language Processing and Computational Social
Science}, author={Chen, Wei-Fan and Al-Khatib, Khalid and Wachsmuth, Henning and
Stein, Benno}, year={2020}, pages={149–154} }'
chicago: Chen, Wei-Fan, Khalid Al-Khatib, Henning Wachsmuth, and Benno Stein. “Analyzing
Political Bias and Unfairness in News Articles at Different Levels of Granularity.”
In Proceedings of the Fourth Workshop on Natural Language Processing and Computational
Social Science, 149–54, 2020.
ieee: W.-F. Chen, K. Al-Khatib, H. Wachsmuth, and B. Stein, “Analyzing Political
Bias and Unfairness in News Articles at Different Levels of Granularity,” in Proceedings
of the Fourth Workshop on Natural Language Processing and Computational Social
Science, 2020, pp. 149–154.
mla: Chen, Wei-Fan, et al. “Analyzing Political Bias and Unfairness in News Articles
at Different Levels of Granularity.” Proceedings of the Fourth Workshop on
Natural Language Processing and Computational Social Science, 2020, pp. 149–54.
short: 'W.-F. Chen, K. Al-Khatib, H. Wachsmuth, B. Stein, in: Proceedings of the
Fourth Workshop on Natural Language Processing and Computational Social Science,
2020, pp. 149–154.'
date_created: 2018-08-02T11:40:56Z
date_updated: 2022-05-09T15:03:31Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.nlpcss-1.16.pdf
page: 149-154
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the Fourth Workshop on Natural Language Processing and
Computational Social Science
status: public
title: Analyzing Political Bias and Unfairness in News Articles at Different Levels
of Granularity
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '20137'
author:
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
citation:
ama: 'Syed S, Chen W-F, Hagen M, Stein B, Wachsmuth H, Potthast M. Task Proposal:
Abstractive Snippet Generation for Web Pages. In: Proceedings of the 13th International
Conference on Natural Language Generation (INLG 2020). ; 2020:237-241.'
apa: 'Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., & Potthast,
M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. Proceedings
of the 13th International Conference on Natural Language Generation (INLG 2020),
237–241.'
bibtex: '@inproceedings{Syed_Chen_Hagen_Stein_Wachsmuth_Potthast_2020, title={Task
Proposal: Abstractive Snippet Generation for Web Pages}, booktitle={Proceedings
of the 13th International Conference on Natural Language Generation (INLG 2020)},
author={Syed, Shahbaz and Chen, Wei-Fan and Hagen, Matthias and Stein, Benno and
Wachsmuth, Henning and Potthast, Martin}, year={2020}, pages={237–241} }'
chicago: 'Syed, Shahbaz, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth,
and Martin Potthast. “Task Proposal: Abstractive Snippet Generation for Web Pages.”
In Proceedings of the 13th International Conference on Natural Language Generation
(INLG 2020), 237–41, 2020.'
ieee: 'S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, and M. Potthast, “Task
Proposal: Abstractive Snippet Generation for Web Pages,” in Proceedings of
the 13th International Conference on Natural Language Generation (INLG 2020),
2020, pp. 237–241.'
mla: 'Syed, Shahbaz, et al. “Task Proposal: Abstractive Snippet Generation for Web
Pages.” Proceedings of the 13th International Conference on Natural Language
Generation (INLG 2020), 2020, pp. 237–41.'
short: 'S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, M. Potthast, in:
Proceedings of the 13th International Conference on Natural Language Generation
(INLG 2020), 2020, pp. 237–241.'
date_created: 2020-10-20T13:00:06Z
date_updated: 2022-05-09T15:03:11Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.inlg-1.30.pdf
page: 237-241
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the 13th International Conference on Natural Language
Generation (INLG 2020)
status: public
title: 'Task Proposal: Abstractive Snippet Generation for Web Pages'
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '3818'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Khalid
full_name: Al-Khatib, Khalid
last_name: Al-Khatib
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Chen W-F, Al-Khatib K, Stein B, Wachsmuth H. Detecting Media Bias in News
Articles using Gaussian Bias Distributions. In: Findings of the Association
for Computational Linguistics: EMNLP 2020. ; 2020:4290-4300.'
apa: 'Chen, W.-F., Al-Khatib, K., Stein, B., & Wachsmuth, H. (2020). Detecting
Media Bias in News Articles using Gaussian Bias Distributions. Findings of
the Association for Computational Linguistics: EMNLP 2020, 4290–4300.'
bibtex: '@inproceedings{Chen_Al-Khatib_Stein_Wachsmuth_2020, title={Detecting Media
Bias in News Articles using Gaussian Bias Distributions}, booktitle={Findings
of the Association for Computational Linguistics: EMNLP 2020}, author={Chen, Wei-Fan
and Al-Khatib, Khalid and Stein, Benno and Wachsmuth, Henning}, year={2020}, pages={4290–4300}
}'
chicago: 'Chen, Wei-Fan, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “Detecting
Media Bias in News Articles Using Gaussian Bias Distributions.” In Findings
of the Association for Computational Linguistics: EMNLP 2020, 4290–4300, 2020.'
ieee: 'W.-F. Chen, K. Al-Khatib, B. Stein, and H. Wachsmuth, “Detecting Media Bias
in News Articles using Gaussian Bias Distributions,” in Findings of the Association
for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.'
mla: 'Chen, Wei-Fan, et al. “Detecting Media Bias in News Articles Using Gaussian
Bias Distributions.” Findings of the Association for Computational Linguistics:
EMNLP 2020, 2020, pp. 4290–300.'
short: 'W.-F. Chen, K. Al-Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association
for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.'
date_created: 2018-08-02T13:38:46Z
date_updated: 2022-05-09T15:00:46Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.findings-emnlp.383.pdf
page: 4290-4300
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: 'Findings of the Association for Computational Linguistics: EMNLP 2020'
status: public
title: Detecting Media Bias in News Articles using Gaussian Bias Distributions
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '15826'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
citation:
ama: 'Chen W-F, Syed S, Stein B, Hagen M, Potthast M. Abstractive Snippet Generation.
In: Proceedings of the Web Conference 2020. ; 2020:1309-1319.'
apa: Chen, W.-F., Syed, S., Stein, B., Hagen, M., & Potthast, M. (2020). Abstractive
Snippet Generation. Proceedings of the Web Conference 2020, 1309–1319.
bibtex: '@inproceedings{Chen_Syed_Stein_Hagen_Potthast_2020, title={Abstractive
Snippet Generation}, booktitle={Proceedings of the Web Conference 2020}, author={Chen,
Wei-Fan and Syed, Shahbaz and Stein, Benno and Hagen, Matthias and Potthast, Martin},
year={2020}, pages={1309–1319} }'
chicago: Chen, Wei-Fan, Shahbaz Syed, Benno Stein, Matthias Hagen, and Martin Potthast.
“Abstractive Snippet Generation.” In Proceedings of the Web Conference 2020,
1309–19, 2020.
ieee: W.-F. Chen, S. Syed, B. Stein, M. Hagen, and M. Potthast, “Abstractive Snippet
Generation,” in Proceedings of the Web Conference 2020, 2020, pp. 1309–1319.
mla: Chen, Wei-Fan, et al. “Abstractive Snippet Generation.” Proceedings of the
Web Conference 2020, 2020, pp. 1309–19.
short: 'W.-F. Chen, S. Syed, B. Stein, M. Hagen, M. Potthast, in: Proceedings of
the Web Conference 2020, 2020, pp. 1309–1319.'
date_created: 2020-02-06T10:51:33Z
date_updated: 2022-05-09T15:03:53Z
department:
- _id: '600'
- _id: '568'
language:
- iso: eng
main_file_link:
- url: https://dl.acm.org/doi/pdf/10.1145/3366423.3380206
page: 1309-1319
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the Web Conference 2020
status: public
title: Abstractive Snippet Generation
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '13259'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Khalid
full_name: Al-Khatib, Khalid
last_name: Al-Khatib
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Chen W-F, Al-Khatib K, Hagen M, Wachsmuth H, Stein B. Unraveling the Search
Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition. In: Proceedings
of the Second Workshop on Natural Language Processing for Internet Freedom.
; 2019:76-82.'
apa: Chen, W.-F., Al-Khatib, K., Hagen, M., Wachsmuth, H., & Stein, B. (2019).
Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon
Acquisition. Proceedings of the Second Workshop on Natural Language Processing
for Internet Freedom, 76–82.
bibtex: '@inproceedings{Chen_Al-Khatib_Hagen_Wachsmuth_Stein_2019, title={Unraveling
the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition},
booktitle={Proceedings of the Second Workshop on Natural Language Processing for
Internet Freedom}, author={Chen, Wei-Fan and Al-Khatib, Khalid and Hagen, Matthias
and Wachsmuth, Henning and Stein, Benno}, year={2019}, pages={76–82} }'
chicago: Chen, Wei-Fan, Khalid Al-Khatib, Matthias Hagen, Henning Wachsmuth, and
Benno Stein. “Unraveling the Search Space of Abusive Language in Wikipedia with
Dynamic Lexicon Acquisition.” In Proceedings of the Second Workshop on Natural
Language Processing for Internet Freedom, 76–82, 2019.
ieee: W.-F. Chen, K. Al-Khatib, M. Hagen, H. Wachsmuth, and B. Stein, “Unraveling
the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition,”
in Proceedings of the Second Workshop on Natural Language Processing for Internet
Freedom, 2019, pp. 76–82.
mla: Chen, Wei-Fan, et al. “Unraveling the Search Space of Abusive Language in Wikipedia
with Dynamic Lexicon Acquisition.” Proceedings of the Second Workshop on Natural
Language Processing for Internet Freedom, 2019, pp. 76–82.
short: 'W.-F. Chen, K. Al-Khatib, M. Hagen, H. Wachsmuth, B. Stein, in: Proceedings
of the Second Workshop on Natural Language Processing for Internet Freedom, 2019,
pp. 76–82.'
date_created: 2019-09-17T14:42:43Z
date_updated: 2022-05-09T15:04:18Z
department:
- _id: '600'
- _id: '568'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/D19-5009.pdf
page: 76-82
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the Second Workshop on Natural Language Processing for
Internet Freedom
status: public
title: Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon
Acquisition
type: conference
user_id: '82920'
year: '2019'
...
---
_id: '14886'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Lun-Wei
full_name: Ku, Lun-Wei
last_name: Ku
citation:
ama: 'Chen W-F, Ku L-W. We Like, We Post: A Joint User-Post Approach for Facebook
Post Stance Labeling. IEEE Transactions on Knowledge and Data Engineering.
2018;30(10):2013-2023.'
apa: 'Chen, W.-F., & Ku, L.-W. (2018). We Like, We Post: A Joint User-Post Approach
for Facebook Post Stance Labeling. IEEE Transactions on Knowledge and Data
Engineering, 30(10), 2013–2023.'
bibtex: '@article{Chen_Ku_2018, title={We Like, We Post: A Joint User-Post Approach
for Facebook Post Stance Labeling}, volume={30}, number={10}, journal={IEEE Transactions
on Knowledge and Data Engineering}, publisher={IEEE}, author={Chen, Wei-Fan and
Ku, Lun-Wei}, year={2018}, pages={2013–2023} }'
chicago: 'Chen, Wei-Fan, and Lun-Wei Ku. “We Like, We Post: A Joint User-Post Approach
for Facebook Post Stance Labeling.” IEEE Transactions on Knowledge and Data
Engineering 30, no. 10 (2018): 2013–23.'
ieee: 'W.-F. Chen and L.-W. Ku, “We Like, We Post: A Joint User-Post Approach for
Facebook Post Stance Labeling,” IEEE Transactions on Knowledge and Data Engineering,
vol. 30, no. 10, pp. 2013–2023, 2018.'
mla: 'Chen, Wei-Fan, and Lun-Wei Ku. “We Like, We Post: A Joint User-Post Approach
for Facebook Post Stance Labeling.” IEEE Transactions on Knowledge and Data
Engineering, vol. 30, no. 10, IEEE, 2018, pp. 2013–23.'
short: W.-F. Chen, L.-W. Ku, IEEE Transactions on Knowledge and Data Engineering
30 (2018) 2013–2023.
date_created: 2019-11-11T12:36:42Z
date_updated: 2022-01-06T06:52:09Z
department:
- _id: '600'
extern: '1'
intvolume: ' 30'
issue: '10'
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/iel7/69/4358933/08305481.pdf
page: 2013-2023
publication: IEEE Transactions on Knowledge and Data Engineering
publisher: IEEE
status: public
title: 'We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling'
type: journal_article
user_id: '82920'
volume: 30
year: '2018'
...
---
_id: '14887'
author:
- first_name: Mei-Hua
full_name: Chen, Mei-Hua
last_name: Chen
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Lun-Wei
full_name: Ku, Lun-Wei
last_name: Ku
citation:
ama: Chen M-H, Chen W-F, Ku L-W. Application of Sentiment Analysis to Language Learning.
IEEE Access. 2018;6:24433-24442.
apa: Chen, M.-H., Chen, W.-F., & Ku, L.-W. (2018). Application of Sentiment
Analysis to Language Learning. IEEE Access, 6, 24433–24442.
bibtex: '@article{Chen_Chen_Ku_2018, title={Application of Sentiment Analysis to
Language Learning}, volume={6}, journal={IEEE Access}, publisher={IEEE}, author={Chen,
Mei-Hua and Chen, Wei-Fan and Ku, Lun-Wei}, year={2018}, pages={24433–24442} }'
chicago: 'Chen, Mei-Hua, Wei-Fan Chen, and Lun-Wei Ku. “Application of Sentiment
Analysis to Language Learning.” IEEE Access 6 (2018): 24433–42.'
ieee: M.-H. Chen, W.-F. Chen, and L.-W. Ku, “Application of Sentiment Analysis to
Language Learning,” IEEE Access, vol. 6, pp. 24433–24442, 2018.
mla: Chen, Mei-Hua, et al. “Application of Sentiment Analysis to Language Learning.”
IEEE Access, vol. 6, IEEE, 2018, pp. 24433–42.
short: M.-H. Chen, W.-F. Chen, L.-W. Ku, IEEE Access 6 (2018) 24433–24442.
date_created: 2019-11-11T12:37:30Z
date_updated: 2022-01-06T06:52:09Z
department:
- _id: '600'
extern: '1'
intvolume: ' 6'
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/iel7/6287639/8274985/08353227.pdf
page: 24433-24442
publication: IEEE Access
publisher: IEEE
status: public
title: Application of Sentiment Analysis to Language Learning
type: journal_article
user_id: '82920'
volume: 6
year: '2018'
...
---
_id: '14888'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Lun-Wei
full_name: Ku, Lun-Wei
last_name: Ku
citation:
ama: Chen W-F, Ku L-W. 中文情感語意分析套件 CSentiPackage 發展與應用. 圖書館學與資訊科學. 2018.
apa: Chen W.-F., & Ku L.-W. (2018). 中文情感語意分析套件 CSentiPackage 發展與應用. 圖書館學與資訊科學.
bibtex: '@article{Chen_Ku_2018, title={中文情感語意分析套件 CSentiPackage 發展與應用}, journal={圖書館學與資訊科學},
publisher={國立台灣師範大學圖書資訊學研究所}, author={Chen Wei-Fan and Ku Lun-Wei}, year={2018}
}'
chicago: Chen Wei-Fan, and Ku Lun-Wei. “中文情感語意分析套件 CSentiPackage 發展與應用.” 圖書館學與資訊科學,
2018.
ieee: Chen W.-F. and Ku L.-W., “中文情感語意分析套件 CSentiPackage 發展與應用,” 圖書館學與資訊科學, 2018.
mla: Chen Wei-Fan, and Ku Lun-Wei. “中文情感語意分析套件 CSentiPackage 發展與應用.” 圖書館學與資訊科學,
國立台灣師範大學圖書資訊學研究所, 2018.
short: Chen W.-F., Ku L.-W., 圖書館學與資訊科學 (2018).
date_created: 2019-11-11T12:46:18Z
date_updated: 2022-01-06T06:52:09Z
department:
- _id: '600'
language:
- iso: chi
main_file_link:
- url: http://rportal.lib.ntnu.edu.tw/bitstream/20.500.12235/80604/1/ntnulib_ja_A1021_4401_024.pdf
publication: 圖書館學與資訊科學
publisher: 國立台灣師範大學圖書資訊學研究所
status: public
title: 中文情感語意分析套件 CSentiPackage 發展與應用
type: journal_article
user_id: '82920'
year: '2018'
...
---
_id: '11710'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Khalid
full_name: Al Khatib, Khalid
last_name: Al Khatib
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Chen W-F, Wachsmuth H, Al Khatib K, Stein B. Learning to Flip the Bias of
News Headlines. In: Proceedings of the 11th International Conference on Natural
Language Generation. Association for Computational Linguistics; 2018:79-88.'
apa: Chen, W.-F., Wachsmuth, H., Al Khatib, K., & Stein, B. (2018). Learning
to Flip the Bias of News Headlines. Proceedings of the 11th International Conference
on Natural Language Generation, 79–88.
bibtex: '@inproceedings{Chen_Wachsmuth_Al Khatib_Stein_2018, title={Learning to
Flip the Bias of News Headlines}, booktitle={Proceedings of the 11th International
Conference on Natural Language Generation}, publisher={Association for Computational
Linguistics}, author={Chen, Wei-Fan and Wachsmuth, Henning and Al Khatib, Khalid
and Stein, Benno}, year={2018}, pages={79–88} }'
chicago: Chen, Wei-Fan, Henning Wachsmuth, Khalid Al Khatib, and Benno Stein. “Learning
to Flip the Bias of News Headlines.” In Proceedings of the 11th International
Conference on Natural Language Generation, 79–88. Association for Computational
Linguistics, 2018.
ieee: W.-F. Chen, H. Wachsmuth, K. Al Khatib, and B. Stein, “Learning to Flip the
Bias of News Headlines,” in Proceedings of the 11th International Conference
on Natural Language Generation, 2018, pp. 79–88.
mla: Chen, Wei-Fan, et al. “Learning to Flip the Bias of News Headlines.” Proceedings
of the 11th International Conference on Natural Language Generation, Association
for Computational Linguistics, 2018, pp. 79–88.
short: 'W.-F. Chen, H. Wachsmuth, K. Al Khatib, B. Stein, in: Proceedings of the
11th International Conference on Natural Language Generation, Association for
Computational Linguistics, 2018, pp. 79–88.'
date_created: 2019-07-11T13:13:43Z
date_updated: 2022-05-09T15:04:38Z
department:
- _id: '600'
- _id: '568'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/W18-6509.pdf
page: 79-88
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the 11th International Conference on Natural Language
Generation
publisher: Association for Computational Linguistics
status: public
title: Learning to Flip the Bias of News Headlines
type: conference
user_id: '82920'
year: '2018'
...
---
_id: '14873'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
citation:
ama: 'Chen W-F, Hagen M, Stein B, Potthast M. A User Study on Snippet Generation:
Text Reuse vs. Paraphrases. In: Proceedings of the 41st International ACM SIGIR
Conference on Research & Development in Information Retrieval. ; 2018:1033-1036.'
apa: 'Chen, W.-F., Hagen, M., Stein, B., & Potthast, M. (2018). A User Study
on Snippet Generation: Text Reuse vs. Paraphrases. Proceedings of the 41st
International ACM SIGIR Conference on Research & Development in Information
Retrieval, 1033–1036.'
bibtex: '@inproceedings{Chen_Hagen_Stein_Potthast_2018, title={A User Study on Snippet
Generation: Text Reuse vs. Paraphrases}, booktitle={Proceedings of the 41st International
ACM SIGIR Conference on Research & Development in Information Retrieval},
author={Chen, Wei-Fan and Hagen, Matthias and Stein, Benno and Potthast, Martin},
year={2018}, pages={1033–1036} }'
chicago: 'Chen, Wei-Fan, Matthias Hagen, Benno Stein, and Martin Potthast. “A User
Study on Snippet Generation: Text Reuse vs. Paraphrases.” In Proceedings of
the 41st International ACM SIGIR Conference on Research & Development in Information
Retrieval, 1033–36, 2018.'
ieee: 'W.-F. Chen, M. Hagen, B. Stein, and M. Potthast, “A User Study on Snippet
Generation: Text Reuse vs. Paraphrases,” in Proceedings of the 41st International
ACM SIGIR Conference on Research & Development in Information Retrieval,
2018, pp. 1033–1036.'
mla: 'Chen, Wei-Fan, et al. “A User Study on Snippet Generation: Text Reuse vs.
Paraphrases.” Proceedings of the 41st International ACM SIGIR Conference on
Research & Development in Information Retrieval, 2018, pp. 1033–36.'
short: 'W.-F. Chen, M. Hagen, B. Stein, M. Potthast, in: Proceedings of the 41st
International ACM SIGIR Conference on Research & Development in Information
Retrieval, 2018, pp. 1033–1036.'
date_created: 2019-11-11T09:51:05Z
date_updated: 2022-05-09T15:04:59Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://dl.acm.org/doi/pdf/10.1145/3209978.3210149
page: 1033-1036
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the 41st International ACM SIGIR Conference on Research
& Development in Information Retrieval
status: public
title: 'A User Study on Snippet Generation: Text Reuse vs. Paraphrases'
type: conference
user_id: '82920'
year: '2018'
...
---
_id: '14885'
author:
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Potthast M, Chen W-F, Hagen M, Stein B. A Plan for Ancillary Copyright: Original
Snippets. In: Proceedings of the Second International Workshop on Recent Trends
in News Information Retrieval. ; 2018:3-5.'
apa: 'Potthast, M., Chen, W.-F., Hagen, M., & Stein, B. (2018). A Plan for Ancillary
Copyright: Original Snippets. Proceedings of the Second International Workshop
on Recent Trends in News Information Retrieval, 3–5.'
bibtex: '@inproceedings{Potthast_Chen_Hagen_Stein_2018, title={A Plan for Ancillary
Copyright: Original Snippets.}, booktitle={Proceedings of the Second International
Workshop on Recent Trends in News Information Retrieval}, author={Potthast, Martin
and Chen, Wei-Fan and Hagen, Matthias and Stein, Benno}, year={2018}, pages={3–5}
}'
chicago: 'Potthast, Martin, Wei-Fan Chen, Matthias Hagen, and Benno Stein. “A Plan
for Ancillary Copyright: Original Snippets.” In Proceedings of the Second International
Workshop on Recent Trends in News Information Retrieval, 3–5, 2018.'
ieee: 'M. Potthast, W.-F. Chen, M. Hagen, and B. Stein, “A Plan for Ancillary Copyright:
Original Snippets.,” in Proceedings of the Second International Workshop on
Recent Trends in News Information Retrieval, 2018, pp. 3–5.'
mla: 'Potthast, Martin, et al. “A Plan for Ancillary Copyright: Original Snippets.”
Proceedings of the Second International Workshop on Recent Trends in News Information
Retrieval, 2018, pp. 3–5.'
short: 'M. Potthast, W.-F. Chen, M. Hagen, B. Stein, in: Proceedings of the Second
International Workshop on Recent Trends in News Information Retrieval, 2018, pp.
3–5.'
date_created: 2019-11-11T12:32:01Z
date_updated: 2022-05-09T15:05:42Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://webis.de/downloads/publications/papers/stein_2018b.pdf
page: 3-5
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the Second International Workshop on Recent Trends in
News Information Retrieval
status: public
title: 'A Plan for Ancillary Copyright: Original Snippets.'
type: conference
user_id: '82920'
year: '2018'
...
---
_id: '3751'
author:
- first_name: Yamen
full_name: Ajjour, Yamen
last_name: Ajjour
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Johannes
full_name: Kiesel, Johannes
last_name: Kiesel
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Ajjour Y, Chen W-F, Kiesel J, Wachsmuth H, Stein B. Unit Segmentation of Argumentative
Texts. In: Proceedings of the 4th Workshop on Argument Mining. ; 2017:118-128.'
apa: Ajjour, Y., Chen, W.-F., Kiesel, J., Wachsmuth, H., & Stein, B. (2017).
Unit Segmentation of Argumentative Texts. In Proceedings of the 4th Workshop
on Argument Mining (pp. 118–128).
bibtex: '@inproceedings{Ajjour_Chen_Kiesel_Wachsmuth_Stein_2017, title={Unit Segmentation
of Argumentative Texts}, booktitle={Proceedings of the 4th Workshop on Argument
Mining}, author={Ajjour, Yamen and Chen, Wei-Fan and Kiesel, Johannes and Wachsmuth,
Henning and Stein, Benno}, year={2017}, pages={118–128} }'
chicago: Ajjour, Yamen, Wei-Fan Chen, Johannes Kiesel, Henning Wachsmuth, and Benno
Stein. “Unit Segmentation of Argumentative Texts.” In Proceedings of the 4th
Workshop on Argument Mining, 118–28, 2017.
ieee: Y. Ajjour, W.-F. Chen, J. Kiesel, H. Wachsmuth, and B. Stein, “Unit Segmentation
of Argumentative Texts,” in Proceedings of the 4th Workshop on Argument Mining,
2017, pp. 118–128.
mla: Ajjour, Yamen, et al. “Unit Segmentation of Argumentative Texts.” Proceedings
of the 4th Workshop on Argument Mining, 2017, pp. 118–28.
short: 'Y. Ajjour, W.-F. Chen, J. Kiesel, H. Wachsmuth, B. Stein, in: Proceedings
of the 4th Workshop on Argument Mining, 2017, pp. 118–128.'
date_created: 2018-08-02T11:39:32Z
date_updated: 2022-01-06T06:59:34Z
department:
- _id: '568'
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/W17-5115.pdf
page: 118-128
publication: Proceedings of the 4th Workshop on Argument Mining
status: public
title: Unit Segmentation of Argumentative Texts
type: conference
user_id: '82920'
year: '2017'
...
---
_id: '14884'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Yi-Pei
full_name: Chen, Yi-Pei
last_name: Chen
- first_name: Lun-Wei
full_name: Ku, Lun-Wei
last_name: Ku
citation:
ama: 'Chen W-F, Chen Y-P, Ku L-W. How to Get Endorsements? Predicting Facebook Likes
Using Post Content and User Engagement. In: International Conference on HCI
in Business, Government, and Organizations. ; 2017:190-202.'
apa: Chen, W.-F., Chen, Y.-P., & Ku, L.-W. (2017). How to Get Endorsements?
Predicting Facebook Likes Using Post Content and User Engagement. In International
Conference on HCI in Business, Government, and Organizations (pp. 190–202).
bibtex: '@inproceedings{Chen_Chen_Ku_2017, title={How to Get Endorsements? Predicting
Facebook Likes Using Post Content and User Engagement}, booktitle={International
Conference on HCI in Business, Government, and Organizations}, author={Chen, Wei-Fan
and Chen, Yi-Pei and Ku, Lun-Wei}, year={2017}, pages={190–202} }'
chicago: Chen, Wei-Fan, Yi-Pei Chen, and Lun-Wei Ku. “How to Get Endorsements? Predicting
Facebook Likes Using Post Content and User Engagement.” In International Conference
on HCI in Business, Government, and Organizations, 190–202, 2017.
ieee: W.-F. Chen, Y.-P. Chen, and L.-W. Ku, “How to Get Endorsements? Predicting
Facebook Likes Using Post Content and User Engagement,” in International Conference
on HCI in Business, Government, and Organizations, 2017, pp. 190–202.
mla: Chen, Wei-Fan, et al. “How to Get Endorsements? Predicting Facebook Likes Using
Post Content and User Engagement.” International Conference on HCI in Business,
Government, and Organizations, 2017, pp. 190–202.
short: 'W.-F. Chen, Y.-P. Chen, L.-W. Ku, in: International Conference on HCI in
Business, Government, and Organizations, 2017, pp. 190–202.'
date_created: 2019-11-11T12:31:01Z
date_updated: 2022-01-06T06:52:09Z
department:
- _id: '600'
extern: '1'
language:
- iso: eng
main_file_link:
- url: https://www.iis.sinica.edu.tw/papers/lwku/20654-F.pdf
page: 190-202
publication: International Conference on HCI in Business, Government, and Organizations
status: public
title: How to Get Endorsements? Predicting Facebook Likes Using Post Content and User
Engagement
type: conference
user_id: '82920'
year: '2017'
...
---
_id: '14881'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Lun-Wei
full_name: Ku, Lun-Wei
last_name: Ku
citation:
ama: 'Chen W-F, Ku L-W. UTCNN: a Deep Learning Model of Stance Classification on
Social Media Text. In: Proceedings of COLING 2016, the 26th International Conference
on Computational Linguistics. ; 2016:1635-1645.'
apa: 'Chen, W.-F., & Ku, L.-W. (2016). UTCNN: a Deep Learning Model of Stance
Classification on Social Media Text. In Proceedings of COLING 2016, the 26th
International Conference on Computational Linguistics (pp. 1635–1645).'
bibtex: '@inproceedings{Chen_Ku_2016, title={UTCNN: a Deep Learning Model of Stance
Classification on Social Media Text}, booktitle={Proceedings of COLING 2016, the
26th International Conference on Computational Linguistics}, author={Chen, Wei-Fan
and Ku, Lun-Wei}, year={2016}, pages={1635–1645} }'
chicago: 'Chen, Wei-Fan, and Lun-Wei Ku. “UTCNN: A Deep Learning Model of Stance
Classification on Social Media Text.” In Proceedings of COLING 2016, the 26th
International Conference on Computational Linguistics, 1635–45, 2016.'
ieee: 'W.-F. Chen and L.-W. Ku, “UTCNN: a Deep Learning Model of Stance Classification
on Social Media Text,” in Proceedings of COLING 2016, the 26th International
Conference on Computational Linguistics, 2016, pp. 1635–1645.'
mla: 'Chen, Wei-Fan, and Lun-Wei Ku. “UTCNN: A Deep Learning Model of Stance Classification
on Social Media Text.” Proceedings of COLING 2016, the 26th International Conference
on Computational Linguistics, 2016, pp. 1635–45.'
short: 'W.-F. Chen, L.-W. Ku, in: Proceedings of COLING 2016, the 26th International
Conference on Computational Linguistics, 2016, pp. 1635–1645.'
date_created: 2019-11-11T12:28:24Z
date_updated: 2022-01-06T06:52:09Z
department:
- _id: '600'
extern: '1'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/C16-1154.pdf
page: 1635-1645
publication: Proceedings of COLING 2016, the 26th International Conference on Computational
Linguistics
status: public
title: 'UTCNN: a Deep Learning Model of Stance Classification on Social Media Text'
type: conference
user_id: '82920'
year: '2016'
...
---
_id: '14882'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Fang-Yu
full_name: Lin, Fang-Yu
last_name: Lin
- first_name: Lun-Wei
full_name: Ku, Lun-Wei
last_name: Ku
citation:
ama: 'Chen W-F, Lin F-Y, Ku L-W. WordForce: Visualizing Controversial Words in Debates.
In: Proceedings of COLING 2016, the 26th International Conference on Computational
Linguistics: System Demonstrations. ; 2016:273-277.'
apa: 'Chen, W.-F., Lin, F.-Y., & Ku, L.-W. (2016). WordForce: Visualizing Controversial
Words in Debates. In Proceedings of COLING 2016, the 26th International Conference
on Computational Linguistics: System Demonstrations (pp. 273–277).'
bibtex: '@inproceedings{Chen_Lin_Ku_2016, title={WordForce: Visualizing Controversial
Words in Debates}, booktitle={Proceedings of COLING 2016, the 26th International
Conference on Computational Linguistics: System Demonstrations}, author={Chen,
Wei-Fan and Lin, Fang-Yu and Ku, Lun-Wei}, year={2016}, pages={273–277} }'
chicago: 'Chen, Wei-Fan, Fang-Yu Lin, and Lun-Wei Ku. “WordForce: Visualizing Controversial
Words in Debates.” In Proceedings of COLING 2016, the 26th International Conference
on Computational Linguistics: System Demonstrations, 273–77, 2016.'
ieee: 'W.-F. Chen, F.-Y. Lin, and L.-W. Ku, “WordForce: Visualizing Controversial
Words in Debates,” in Proceedings of COLING 2016, the 26th International Conference
on Computational Linguistics: System Demonstrations, 2016, pp. 273–277.'
mla: 'Chen, Wei-Fan, et al. “WordForce: Visualizing Controversial Words in Debates.”
Proceedings of COLING 2016, the 26th International Conference on Computational
Linguistics: System Demonstrations, 2016, pp. 273–77.'
short: 'W.-F. Chen, F.-Y. Lin, L.-W. Ku, in: Proceedings of COLING 2016, the 26th
International Conference on Computational Linguistics: System Demonstrations,
2016, pp. 273–277.'
date_created: 2019-11-11T12:29:14Z
date_updated: 2022-01-06T06:52:09Z
department:
- _id: '600'
extern: '1'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/C16-2057.pdf
page: 273-277
publication: 'Proceedings of COLING 2016, the 26th International Conference on Computational
Linguistics: System Demonstrations'
status: public
title: 'WordForce: Visualizing Controversial Words in Debates'
type: conference
user_id: '82920'
year: '2016'
...