---
_id: '22229'
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Alshomary M, Syed S, Potthast M, Wachsmuth H. Argument Undermining: Counter-Argument
Generation by Attacking Weak Premises. In: Proceedings of the Joint Conference
of the 59th Annual Meeting of the Association for Computational Linguistics and
the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP
2021). Findings of the Association for Computational Linguistics: ACL-IJCNLP
2021. Association for Computational Linguistics; 2021:1816–1827. doi:10.18653/v1/2021.findings-acl.159'
apa: 'Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2021). Argument
Undermining: Counter-Argument Generation by Attacking Weak Premises. Proceedings
of the Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021), 1816–1827. https://doi.org/10.18653/v1/2021.findings-acl.159'
bibtex: '@inproceedings{Alshomary_Syed_Potthast_Wachsmuth_2021, series={Findings
of the Association for Computational Linguistics: ACL-IJCNLP 2021}, title={Argument
Undermining: Counter-Argument Generation by Attacking Weak Premises}, DOI={10.18653/v1/2021.findings-acl.159},
booktitle={Proceedings of the Joint Conference of the 59th Annual Meeting of the
Association for Computational Linguistics and the 11th International Joint Conference
on Natural Language Processing (ACL-IJCNLP 2021)}, publisher={Association for
Computational Linguistics}, author={Alshomary, Milad and Syed, Shahbaz and Potthast,
Martin and Wachsmuth, Henning}, year={2021}, pages={1816–1827}, collection={Findings
of the Association for Computational Linguistics: ACL-IJCNLP 2021} }'
chicago: 'Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth.
“Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.”
In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association
for Computational Linguistics and the 11th International Joint Conference on Natural
Language Processing (ACL-IJCNLP 2021), 1816–1827. Findings of the Association
for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational
Linguistics, 2021. https://doi.org/10.18653/v1/2021.findings-acl.159.'
ieee: 'M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Argument Undermining:
Counter-Argument Generation by Attacking Weak Premises,” in Proceedings of
the Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021), Online, 2021, pp. 1816–1827, doi: 10.18653/v1/2021.findings-acl.159.'
mla: 'Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation
by Attacking Weak Premises.” Proceedings of the Joint Conference of the 59th
Annual Meeting of the Association for Computational Linguistics and the 11th International
Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association
for Computational Linguistics, 2021, pp. 1816–1827, doi:10.18653/v1/2021.findings-acl.159.'
short: 'M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of the
Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021), Association for Computational Linguistics, 2021, pp. 1816–1827.'
conference:
location: Online
name: The Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021)
date_created: 2021-05-26T07:06:18Z
date_updated: 2022-05-09T15:06:36Z
department:
- _id: '600'
doi: 10.18653/v1/2021.findings-acl.159
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.findings-acl.159.pdf
page: 1816–1827
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the Joint Conference of the 59th Annual Meeting of the
Association for Computational Linguistics and the 11th International Joint Conference
on Natural Language Processing (ACL-IJCNLP 2021)
publisher: Association for Computational Linguistics
series_title: 'Findings of the Association for Computational Linguistics: ACL-IJCNLP
2021'
status: public
title: 'Argument Undermining: Counter-Argument Generation by Attacking Weak Premises'
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '24456'
abstract:
- lang: eng
text: One objective of current research in explainable intelligent systems is to
implement social aspects in order to increase the relevance of explanations. In
this paper, we argue that a novel conceptual framework is needed to overcome shortcomings
of existing AI systems with little attention to processes of interaction and learning.
Drawing from research in interaction and development, we first outline the novel
conceptual framework that pushes the design of AI systems toward true interactivity
with an emphasis on the role of the partner and social relevance. We propose that
AI systems will be able to provide a meaningful and relevant explanation only
if the process of explaining is extended to active contribution of both partners
that brings about dynamics that is modulated by different levels of analysis.
Accordingly, our conceptual framework comprises monitoring and scaffolding as
key concepts and claims that the process of explaining is not only modulated by
the interaction between explainee and explainer but is embedded into a larger
social context in which conventionalized and routinized behaviors are established.
We discuss our conceptual framework in relation to the established objectives
of transparency and autonomy that are raised for the design of explainable AI
systems currently.
article_type: original
author:
- first_name: Katharina J.
full_name: Rohlfing, Katharina J.
id: '50352'
last_name: Rohlfing
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
- first_name: Ingrid
full_name: Scharlau, Ingrid
id: '451'
last_name: Scharlau
orcid: 0000-0003-2364-9489
- first_name: Tobias
full_name: Matzner, Tobias
id: '65695'
last_name: Matzner
- first_name: Heike M.
full_name: Buhl, Heike M.
id: '27152'
last_name: Buhl
- first_name: Hendrik
full_name: Buschmeier, Hendrik
last_name: Buschmeier
- first_name: Elena
full_name: Esposito, Elena
last_name: Esposito
- first_name: Angela
full_name: Grimminger, Angela
id: '57578'
last_name: Grimminger
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Ilona
full_name: Horwath, Ilona
id: '68836'
last_name: Horwath
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Friederike
full_name: Kern, Friederike
last_name: Kern
- first_name: Stefan
full_name: Kopp, Stefan
last_name: Kopp
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Petra
full_name: Wagner, Petra
last_name: Wagner
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: 'Rohlfing KJ, Cimiano P, Scharlau I, et al. Explanation as a Social Practice:
Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions
on Cognitive and Developmental Systems. 2021;13(3):717-728. doi:10.1109/tcds.2020.3044366'
apa: 'Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier,
H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier,
E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth,
H., Wagner, P., & Wrede, B. (2021). Explanation as a Social Practice: Toward
a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions
on Cognitive and Developmental Systems, 13(3), 717–728. https://doi.org/10.1109/tcds.2020.3044366'
bibtex: '@article{Rohlfing_Cimiano_Scharlau_Matzner_Buhl_Buschmeier_Esposito_Grimminger_Hammer_Haeb-Umbach_et
al._2021, title={Explanation as a Social Practice: Toward a Conceptual Framework
for the Social Design of AI Systems}, volume={13}, DOI={10.1109/tcds.2020.3044366},
number={3}, journal={IEEE Transactions on Cognitive and Developmental Systems},
author={Rohlfing, Katharina J. and Cimiano, Philipp and Scharlau, Ingrid and Matzner,
Tobias and Buhl, Heike M. and Buschmeier, Hendrik and Esposito, Elena and Grimminger,
Angela and Hammer, Barbara and Haeb-Umbach, Reinhold and et al.}, year={2021},
pages={717–728} }'
chicago: 'Rohlfing, Katharina J., Philipp Cimiano, Ingrid Scharlau, Tobias Matzner,
Heike M. Buhl, Hendrik Buschmeier, Elena Esposito, et al. “Explanation as a Social
Practice: Toward a Conceptual Framework for the Social Design of AI Systems.”
IEEE Transactions on Cognitive and Developmental Systems 13, no. 3 (2021):
717–28. https://doi.org/10.1109/tcds.2020.3044366.'
ieee: 'K. J. Rohlfing et al., “Explanation as a Social Practice: Toward a
Conceptual Framework for the Social Design of AI Systems,” IEEE Transactions
on Cognitive and Developmental Systems, vol. 13, no. 3, pp. 717–728, 2021,
doi: 10.1109/tcds.2020.3044366.'
mla: 'Rohlfing, Katharina J., et al. “Explanation as a Social Practice: Toward a
Conceptual Framework for the Social Design of AI Systems.” IEEE Transactions
on Cognitive and Developmental Systems, vol. 13, no. 3, 2021, pp. 717–28,
doi:10.1109/tcds.2020.3044366.'
short: K.J. Rohlfing, P. Cimiano, I. Scharlau, T. Matzner, H.M. Buhl, H. Buschmeier,
E. Esposito, A. Grimminger, B. Hammer, R. Haeb-Umbach, I. Horwath, E. Hüllermeier,
F. Kern, S. Kopp, K. Thommes, A.-C. Ngonga Ngomo, C. Schulte, H. Wachsmuth, P.
Wagner, B. Wrede, IEEE Transactions on Cognitive and Developmental Systems 13
(2021) 717–728.
date_created: 2021-09-14T20:52:57Z
date_updated: 2023-12-05T10:15:02Z
ddc:
- '300'
department:
- _id: '603'
- _id: '749'
- _id: '424'
- _id: '67'
- _id: '574'
- _id: '184'
- _id: '757'
- _id: '54'
- _id: '178'
doi: 10.1109/tcds.2020.3044366
file:
- access_level: open_access
content_type: application/pdf
creator: haebumb
date_created: 2023-11-20T16:33:51Z
date_updated: 2023-11-20T16:33:51Z
file_id: '49081'
file_name: 2020-12-01_explainability_final_version.pdf
file_size: 626217
relation: main_file
file_date_updated: 2023-11-20T16:33:51Z
has_accepted_license: '1'
intvolume: ' 13'
issue: '3'
keyword:
- Explainability
- process ofexplaining andunderstanding
- explainable artificial systems
language:
- iso: eng
oa: '1'
page: 717-728
project:
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: IEEE Transactions on Cognitive and Developmental Systems
publication_identifier:
issn:
- 2379-8920
- 2379-8939
publication_status: published
quality_controlled: '1'
status: public
title: 'Explanation as a Social Practice: Toward a Conceptual Framework for the Social
Design of AI Systems'
type: journal_article
user_id: '42933'
volume: 13
year: '2021'
...
---
_id: '45788'
author:
- first_name: Jonas
full_name: Bülling, Jonas
last_name: Bülling
citation:
ama: 'Bülling J. Political Speaker Transfer: Learning to Generate Text in the
Styles of Barack Obama and Donald Trump.; 2021.'
apa: 'Bülling, J. (2021). Political Speaker Transfer: Learning to Generate Text
in the Styles of Barack Obama and Donald Trump.'
bibtex: '@book{Bülling_2021, title={Political Speaker Transfer: Learning to Generate
Text in the Styles of Barack Obama and Donald Trump}, author={Bülling, Jonas},
year={2021} }'
chicago: 'Bülling, Jonas. Political Speaker Transfer: Learning to Generate Text
in the Styles of Barack Obama and Donald Trump, 2021.'
ieee: 'J. Bülling, Political Speaker Transfer: Learning to Generate Text in the
Styles of Barack Obama and Donald Trump. 2021.'
mla: 'Bülling, Jonas. Political Speaker Transfer: Learning to Generate Text in
the Styles of Barack Obama and Donald Trump. 2021.'
short: 'J. Bülling, Political Speaker Transfer: Learning to Generate Text in the
Styles of Barack Obama and Donald Trump, 2021.'
date_created: 2023-06-27T12:54:30Z
date_updated: 2023-07-05T07:32:18Z
department:
- _id: '600'
language:
- iso: eng
project:
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
status: public
supervisor:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
title: 'Political Speaker Transfer: Learning to Generate Text in the Styles of Barack
Obama and Donald Trump'
type: mastersthesis
user_id: '477'
year: '2021'
...
---
_id: '45787'
author:
- first_name: Avishek
full_name: Mishra, Avishek
last_name: Mishra
citation:
ama: Mishra A. Computational Text Professionalization Using Neural Sequence-to-Sequence
Models.; 2021.
apa: Mishra, A. (2021). Computational Text Professionalization using Neural Sequence-to-Sequence
Models.
bibtex: '@book{Mishra_2021, title={Computational Text Professionalization using
Neural Sequence-to-Sequence Models}, author={Mishra, Avishek}, year={2021} }'
chicago: Mishra, Avishek. Computational Text Professionalization Using Neural
Sequence-to-Sequence Models, 2021.
ieee: A. Mishra, Computational Text Professionalization using Neural Sequence-to-Sequence
Models. 2021.
mla: Mishra, Avishek. Computational Text Professionalization Using Neural Sequence-to-Sequence
Models. 2021.
short: A. Mishra, Computational Text Professionalization Using Neural Sequence-to-Sequence
Models, 2021.
date_created: 2023-06-27T12:51:08Z
date_updated: 2023-07-05T07:32:50Z
department:
- _id: '600'
language:
- iso: eng
project:
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
status: public
supervisor:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
title: Computational Text Professionalization using Neural Sequence-to-Sequence Models
type: mastersthesis
user_id: '477'
year: '2021'
...
---
_id: '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: '20116'
author:
- first_name: Zahra
full_name: Nouri, Zahra
id: '35802'
last_name: Nouri
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Nouri Z, Wachsmuth H, Engels G. Mining Crowdsourcing Problems from Discussion
Forums of Workers. In: Proceedings of COLING 2020, the 28th International Conference
on Computational Linguistics. ; :6264-6276.'
apa: Nouri, Z., Wachsmuth, H., & Engels, G. (n.d.). Mining Crowdsourcing Problems
from Discussion Forums of Workers. In Proceedings of COLING 2020, the 28th
International Conference on Computational Linguistics (pp. 6264–6276). Barcelona,
Spain.
bibtex: '@inproceedings{Nouri_Wachsmuth_Engels, title={Mining Crowdsourcing Problems
from Discussion Forums of Workers}, booktitle={Proceedings of COLING 2020, the
28th International Conference on Computational Linguistics}, author={Nouri, Zahra
and Wachsmuth, Henning and Engels, Gregor}, pages={6264–6276} }'
chicago: Nouri, Zahra, Henning Wachsmuth, and Gregor Engels. “Mining Crowdsourcing
Problems from Discussion Forums of Workers.” In Proceedings of COLING 2020,
the 28th International Conference on Computational Linguistics, 6264–76, n.d.
ieee: Z. Nouri, H. Wachsmuth, and G. Engels, “Mining Crowdsourcing Problems from
Discussion Forums of Workers,” in Proceedings of COLING 2020, the 28th International
Conference on Computational Linguistics, Barcelona, Spain, pp. 6264–6276.
mla: Nouri, Zahra, et al. “Mining Crowdsourcing Problems from Discussion Forums
of Workers.” Proceedings of COLING 2020, the 28th International Conference
on Computational Linguistics, pp. 6264–76.
short: 'Z. Nouri, H. Wachsmuth, G. Engels, in: Proceedings of COLING 2020, the 28th
International Conference on Computational Linguistics, n.d., pp. 6264–6276.'
conference:
end_date: 2020-12-13
location: Barcelona, Spain
name: The 28th International Conference on Computational Linguistics
start_date: 2020-12-08
date_created: 2020-10-18T12:21:34Z
date_updated: 2022-01-06T06:54:19Z
ddc:
- '000'
department:
- _id: '600'
file:
- access_level: closed
content_type: application/pdf
creator: znouri
date_created: 2020-11-10T14:25:56Z
date_updated: 2020-11-10T14:25:56Z
file_id: '20334'
file_name: Mining Crowdsourcing Problems from Discussion Forums of Workers.pdf
file_size: 610246
relation: main_file
success: 1
file_date_updated: 2020-11-10T14:25:56Z
has_accepted_license: '1'
language:
- iso: eng
page: 6264-6276
publication: Proceedings of COLING 2020, the 28th International Conference on Computational
Linguistics
publication_status: accepted
status: public
title: Mining Crowdsourcing Problems from Discussion Forums of Workers
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '20122'
author:
- first_name: Roxanne
full_name: El Baff, Roxanne
last_name: El Baff
- 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: 'El Baff R, Al-Khatib K, Stein B, Wachsmuth H. Persuasiveness of News Editorials
depending on Ideology and Personality. In: Third Workshop on Computational
Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES
2020). ; 2020:29-40.'
apa: El Baff, R., Al-Khatib, K., Stein, B., & Wachsmuth, H. (2020). Persuasiveness
of News Editorials depending on Ideology and Personality. In Third Workshop
on Computational Modeling of People’s Opinions, Personality, and Emotions in Social
Media (PEOPLES 2020) (pp. 29–40).
bibtex: '@inproceedings{El Baff_Al-Khatib_Stein_Wachsmuth_2020, title={Persuasiveness
of News Editorials depending on Ideology and Personality}, booktitle={Third Workshop
on Computational Modeling of People’s Opinions, Personality, and Emotions in Social
Media (PEOPLES 2020)}, author={El Baff, Roxanne and Al-Khatib, Khalid and Stein,
Benno and Wachsmuth, Henning}, year={2020}, pages={29–40} }'
chicago: El Baff, Roxanne, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth.
“Persuasiveness of News Editorials Depending on Ideology and Personality.” In
Third Workshop on Computational Modeling of People’s Opinions, Personality,
and Emotions in Social Media (PEOPLES 2020), 29–40, 2020.
ieee: R. El Baff, K. Al-Khatib, B. Stein, and H. Wachsmuth, “Persuasiveness of News
Editorials depending on Ideology and Personality,” in Third Workshop on Computational
Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES
2020), 2020, pp. 29–40.
mla: El Baff, Roxanne, et al. “Persuasiveness of News Editorials Depending on Ideology
and Personality.” Third Workshop on Computational Modeling of People’s Opinions,
Personality, and Emotions in Social Media (PEOPLES 2020), 2020, pp. 29–40.
short: 'R. El Baff, K. Al-Khatib, B. Stein, H. Wachsmuth, in: Third Workshop on
Computational Modeling of People’s Opinions, Personality, and Emotions in Social
Media (PEOPLES 2020), 2020, pp. 29–40.'
date_created: 2020-10-19T08:49:05Z
date_updated: 2022-01-06T06:54:20Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.peoples-1.4.pdf
page: 29-40
publication: Third Workshop on Computational Modeling of People's Opinions, Personality,
and Emotions in Social Media (PEOPLES 2020)
status: public
title: Persuasiveness of News Editorials depending on Ideology and Personality
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '20139'
author:
- first_name: Maximilian
full_name: Spliethöver, Maximilian
id: '84035'
last_name: Spliethöver
orcid: 0000-0003-4364-1409
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Spliethöver M, Wachsmuth H. Argument from Old Man’s View: Assessing Social
Bias in Argumentation. In: Proceedings of the 7th Workshop on Argument Mining
(ArgMining 2020). ; 2020:76-87.'
apa: 'Spliethöver, M., & Wachsmuth, H. (2020). Argument from Old Man’s View:
Assessing Social Bias in Argumentation. In Proceedings of the 7th Workshop
on Argument Mining (ArgMining 2020) (pp. 76–87).'
bibtex: '@inproceedings{Spliethöver_Wachsmuth_2020, title={Argument from Old Man’s
View: Assessing Social Bias in Argumentation}, booktitle={Proceedings of the 7th
Workshop on Argument Mining (ArgMining 2020)}, author={Spliethöver, Maximilian
and Wachsmuth, Henning}, year={2020}, pages={76–87} }'
chicago: 'Spliethöver, Maximilian, and Henning Wachsmuth. “Argument from Old Man’s
View: Assessing Social Bias in Argumentation.” In Proceedings of the 7th Workshop
on Argument Mining (ArgMining 2020), 76–87, 2020.'
ieee: 'M. Spliethöver and H. Wachsmuth, “Argument from Old Man’s View: Assessing
Social Bias in Argumentation,” in Proceedings of the 7th Workshop on Argument
Mining (ArgMining 2020), 2020, pp. 76–87.'
mla: 'Spliethöver, Maximilian, and Henning Wachsmuth. “Argument from Old Man’s View:
Assessing Social Bias in Argumentation.” Proceedings of the 7th Workshop on
Argument Mining (ArgMining 2020), 2020, pp. 76–87.'
short: 'M. Spliethöver, H. Wachsmuth, in: Proceedings of the 7th Workshop on Argument
Mining (ArgMining 2020), 2020, pp. 76–87.'
date_created: 2020-10-20T13:03:08Z
date_updated: 2022-01-06T06:54:20Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.aclweb.org/anthology/2020.argmining-1.9
oa: '1'
page: 76-87
publication: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)
status: public
title: 'Argument from Old Man''s View: Assessing Social Bias in Argumentation'
type: conference
user_id: '84035'
year: '2020'
...
---
_id: '20140'
author:
- first_name: Jonas
full_name: Dorsch, Jonas
last_name: Dorsch
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Dorsch J, Wachsmuth H. Semi-Supervised Cleansing of Web Argument Corpora.
In: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020).
; 2020:19-29.'
apa: Dorsch, J., & Wachsmuth, H. (2020). Semi-Supervised Cleansing of Web Argument
Corpora. In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)
(pp. 19–29).
bibtex: '@inproceedings{Dorsch_Wachsmuth_2020, title={Semi-Supervised Cleansing
of Web Argument Corpora}, booktitle={Proceedings of the 7th Workshop on Argument
Mining (ArgMining 2020)}, author={Dorsch, Jonas and Wachsmuth, Henning}, year={2020},
pages={19–29} }'
chicago: Dorsch, Jonas, and Henning Wachsmuth. “Semi-Supervised Cleansing of Web
Argument Corpora.” In Proceedings of the 7th Workshop on Argument Mining (ArgMining
2020), 19–29, 2020.
ieee: J. Dorsch and H. Wachsmuth, “Semi-Supervised Cleansing of Web Argument Corpora,”
in Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020),
2020, pp. 19–29.
mla: Dorsch, Jonas, and Henning Wachsmuth. “Semi-Supervised Cleansing of Web Argument
Corpora.” Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020),
2020, pp. 19–29.
short: 'J. Dorsch, H. Wachsmuth, in: Proceedings of the 7th Workshop on Argument
Mining (ArgMining 2020), 2020, pp. 19–29.'
date_created: 2020-10-20T13:04:15Z
date_updated: 2022-01-06T06:54:20Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.argmining-1.3.pdf
page: 19-29
publication: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)
status: public
title: Semi-Supervised Cleansing of Web Argument Corpora
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '20166'
author:
- first_name: Alexander
full_name: Bondarenko, Alexander
last_name: Bondarenko
- first_name: Maik
full_name: Fröbe, Maik
last_name: Fröbe
- first_name: Meriem
full_name: Beloucif, Meriem
last_name: Beloucif
- first_name: Lukas
full_name: Gienapp, Lukas
last_name: Gienapp
- first_name: Yamen
full_name: Ajjour, Yamen
last_name: Ajjour
- first_name: Alexander
full_name: Panchenko, Alexander
last_name: Panchenko
- first_name: Chris
full_name: Biemann, Chris
last_name: Biemann
- 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
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
citation:
ama: 'Bondarenko A, Fröbe M, Beloucif M, et al. Overview of Touché 2020: Argument
Retrieval. In: CEUR Workshop Proceedings. Vol 2696. ; 2020:384-395.'
apa: 'Bondarenko, A., Fröbe, M., Beloucif, M., Gienapp, L., Ajjour, Y., Panchenko,
A., … Hagen, M. (2020). Overview of Touché 2020: Argument Retrieval. In CEUR
Workshop Proceedings (Vol. 2696, pp. 384–395).'
bibtex: '@inproceedings{Bondarenko_Fröbe_Beloucif_Gienapp_Ajjour_Panchenko_Biemann_Stein_Wachsmuth_Potthast_et
al._2020, title={Overview of Touché 2020: Argument Retrieval}, volume={2696},
booktitle={CEUR Workshop Proceedings}, author={Bondarenko, Alexander and Fröbe,
Maik and Beloucif, Meriem and Gienapp, Lukas and Ajjour, Yamen and Panchenko,
Alexander and Biemann, Chris and Stein, Benno and Wachsmuth, Henning and Potthast,
Martin and et al.}, year={2020}, pages={384–395} }'
chicago: 'Bondarenko, Alexander, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen
Ajjour, Alexander Panchenko, Chris Biemann, et al. “Overview of Touché 2020: Argument
Retrieval.” In CEUR Workshop Proceedings, 2696:384–95, 2020.'
ieee: 'A. Bondarenko et al., “Overview of Touché 2020: Argument Retrieval,”
in CEUR Workshop Proceedings, 2020, vol. 2696, pp. 384–395.'
mla: 'Bondarenko, Alexander, et al. “Overview of Touché 2020: Argument Retrieval.”
CEUR Workshop Proceedings, vol. 2696, 2020, pp. 384–95.'
short: 'A. Bondarenko, M. Fröbe, M. Beloucif, L. Gienapp, Y. Ajjour, A. Panchenko,
C. Biemann, B. Stein, H. Wachsmuth, M. Potthast, M. Hagen, in: CEUR Workshop Proceedings,
2020, pp. 384–395.'
date_created: 2020-10-22T07:22:52Z
date_updated: 2022-01-06T06:54:20Z
department:
- _id: '600'
intvolume: ' 2696'
language:
- iso: eng
main_file_link:
- url: http://ceur-ws.org/Vol-2696/paper_261.pdf
page: 384-395
publication: CEUR Workshop Proceedings
status: public
title: 'Overview of Touché 2020: Argument Retrieval'
type: conference
user_id: '82920'
volume: 2696
year: '2020'
...
---
_id: '3800'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Till
full_name: Werner, Till
last_name: Werner
citation:
ama: 'Wachsmuth H, Werner T. Intrinsic Quality Assessment of Arguments. In: Proceedings
of COLING 2020, the 28th International Conference on Computational Linguistics.
; 2020:6739-6745.'
apa: Wachsmuth, H., & Werner, T. (2020). Intrinsic Quality Assessment of Arguments.
In Proceedings of COLING 2020, the 28th International Conference on Computational
Linguistics (pp. 6739–6745).
bibtex: '@inproceedings{Wachsmuth_Werner_2020, title={Intrinsic Quality Assessment
of Arguments}, booktitle={Proceedings of COLING 2020, the 28th International Conference
on Computational Linguistics}, author={Wachsmuth, Henning and Werner, Till}, year={2020},
pages={6739–6745} }'
chicago: Wachsmuth, Henning, and Till Werner. “Intrinsic Quality Assessment of Arguments.”
In Proceedings of COLING 2020, the 28th International Conference on Computational
Linguistics, 6739–45, 2020.
ieee: H. Wachsmuth and T. Werner, “Intrinsic Quality Assessment of Arguments,” in
Proceedings of COLING 2020, the 28th International Conference on Computational
Linguistics, 2020, pp. 6739–6745.
mla: Wachsmuth, Henning, and Till Werner. “Intrinsic Quality Assessment of Arguments.”
Proceedings of COLING 2020, the 28th International Conference on Computational
Linguistics, 2020, pp. 6739–45.
short: 'H. Wachsmuth, T. Werner, in: Proceedings of COLING 2020, the 28th International
Conference on Computational Linguistics, 2020, pp. 6739–6745.'
date_created: 2018-08-02T13:38:21Z
date_updated: 2022-01-06T06:59:36Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.coling-main.592.pdf
page: 6739-6745
publication: Proceedings of COLING 2020, the 28th International Conference on Computational
Linguistics
status: public
title: Intrinsic Quality Assessment of Arguments
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '3878'
author:
- first_name: Roxanne
full_name: El Baff, Roxanne
last_name: El Baff
- 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: 'El Baff R, Wachsmuth H, Al-Khatib K, Stein B. Analyzing the Persuasive Effect
of Style in News Editorial Argumentation. In: Tsujii J, Hajic J, eds. Proceedings
of 58th Annual Meeting of the Association for Computational Linguistics. ;
2020:553-564.'
apa: El Baff, R., Wachsmuth, H., Al-Khatib, K., & Stein, B. (2020). Analyzing
the Persuasive Effect of Style in News Editorial Argumentation. In J. Tsujii &
J. Hajic (Eds.), Proceedings of 58th Annual Meeting of the Association for
Computational Linguistics (pp. 553–564).
bibtex: '@inproceedings{El Baff_Wachsmuth_Al-Khatib_Stein_2020, title={Analyzing
the Persuasive Effect of Style in News Editorial Argumentation}, booktitle={Proceedings
of 58th Annual Meeting of the Association for Computational Linguistics}, author={El
Baff, Roxanne and Wachsmuth, Henning and Al-Khatib, Khalid and Stein, Benno},
editor={Tsujii, Junichi and Hajic, JanEditors}, year={2020}, pages={553–564} }'
chicago: El Baff, Roxanne, Henning Wachsmuth, Khalid Al-Khatib, and Benno Stein.
“Analyzing the Persuasive Effect of Style in News Editorial Argumentation.” In
Proceedings of 58th Annual Meeting of the Association for Computational Linguistics,
edited by Junichi Tsujii and Jan Hajic, 553–64, 2020.
ieee: R. El Baff, H. Wachsmuth, K. Al-Khatib, and B. Stein, “Analyzing the Persuasive
Effect of Style in News Editorial Argumentation,” in Proceedings of 58th Annual
Meeting of the Association for Computational Linguistics, 2020, pp. 553–564.
mla: El Baff, Roxanne, et al. “Analyzing the Persuasive Effect of Style in News
Editorial Argumentation.” Proceedings of 58th Annual Meeting of the Association
for Computational Linguistics, edited by Junichi Tsujii and Jan Hajic, 2020,
pp. 553–64.
short: 'R. El Baff, H. Wachsmuth, K. Al-Khatib, B. Stein, in: J. Tsujii, J. Hajic
(Eds.), Proceedings of 58th Annual Meeting of the Association for Computational
Linguistics, 2020, pp. 553–564.'
date_created: 2018-08-11T16:14:29Z
date_updated: 2022-01-06T06:59:47Z
department:
- _id: '600'
- _id: '568'
editor:
- first_name: Junichi
full_name: Tsujii, Junichi
last_name: Tsujii
- first_name: Jan
full_name: Hajic, Jan
last_name: Hajic
language:
- iso: eng
page: 553-564
publication: Proceedings of 58th Annual Meeting of the Association for Computational
Linguistics
status: public
title: Analyzing the Persuasive Effect of Style in News Editorial Argumentation
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '7283'
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Nick
full_name: Düsterhus, Nick
last_name: Düsterhus
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Alshomary M, Düsterhus N, Wachsmuth H. Extractive Snippet Generation for Arguments.
In: Proceedings of 43rd International ACM SIGIR Conference on Research and
Development in Information Retrieval. ; 2020:1969-1972.'
apa: Alshomary, M., Düsterhus, N., & Wachsmuth, H. (2020). Extractive Snippet
Generation for Arguments. In Proceedings of 43rd International ACM SIGIR Conference
on Research and Development in Information Retrieval (pp. 1969–1972). Xi’an,
China.
bibtex: '@inproceedings{Alshomary_Düsterhus_Wachsmuth_2020, title={Extractive Snippet
Generation for Arguments}, booktitle={Proceedings of 43rd International ACM SIGIR
Conference on Research and Development in Information Retrieval}, author={Alshomary,
Milad and Düsterhus, Nick and Wachsmuth, Henning}, year={2020}, pages={1969–1972}
}'
chicago: Alshomary, Milad, Nick Düsterhus, and Henning Wachsmuth. “Extractive Snippet
Generation for Arguments.” In Proceedings of 43rd International ACM SIGIR Conference
on Research and Development in Information Retrieval, 1969–72, 2020.
ieee: M. Alshomary, N. Düsterhus, and H. Wachsmuth, “Extractive Snippet Generation
for Arguments,” in Proceedings of 43rd International ACM SIGIR Conference on
Research and Development in Information Retrieval, Xi’an, China, 2020, pp.
1969–1972.
mla: Alshomary, Milad, et al. “Extractive Snippet Generation for Arguments.” Proceedings
of 43rd International ACM SIGIR Conference on Research and Development in Information
Retrieval, 2020, pp. 1969–72.
short: 'M. Alshomary, N. Düsterhus, H. Wachsmuth, in: Proceedings of 43rd International
ACM SIGIR Conference on Research and Development in Information Retrieval, 2020,
pp. 1969–1972.'
conference:
end_date: 20202.07.30
location: Xi'an, China
name: 43rd International ACM SIGIR Conference on Research and Development in Information
Retrieval (SIGIR20)
start_date: 20202.07.25
date_created: 2019-01-31T08:06:15Z
date_updated: 2022-01-06T07:03:32Z
ddc:
- '000'
department:
- _id: '600'
- _id: '568'
file:
- access_level: closed
content_type: application/pdf
creator: sile2804
date_created: 2020-05-26T08:41:56Z
date_updated: 2020-05-26T08:41:56Z
file_id: '17062'
file_name: sigir20-argument-argument-snippet-generation-frame.pdf
file_size: 807341
relation: main_file
success: 1
file_date_updated: 2020-05-26T08:41:56Z
has_accepted_license: '1'
language:
- iso: eng
page: 1969-1972
publication: Proceedings of 43rd International ACM SIGIR Conference on Research and
Development in Information Retrieval
status: public
title: Extractive Snippet Generation for Arguments
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '15820'
author:
- first_name: Khalid
full_name: Al-Khatib, Khalid
last_name: Al-Khatib
- first_name: Yufang
full_name: Hou, Yufang
last_name: Hou
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Charles
full_name: Jochim, Charles
last_name: Jochim
- first_name: Francesca
full_name: Bonin, Francesca
last_name: Bonin
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Al-Khatib K, Hou Y, Wachsmuth H, Jochim C, Bonin F, Stein B. End-to-End Argumentation
Knowledge Graph Construction. In: Proceedings of the Thirty-Fourth AAAI Conference
on Artificial Intelligence (AAAI 2020). ; 2020:7367-7374.'
apa: Al-Khatib, K., Hou, Y., Wachsmuth, H., Jochim, C., Bonin, F., & Stein,
B. (2020). End-to-End Argumentation Knowledge Graph Construction. In Proceedings
of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)
(pp. 7367–7374).
bibtex: '@inproceedings{Al-Khatib_Hou_Wachsmuth_Jochim_Bonin_Stein_2020, title={End-to-End
Argumentation Knowledge Graph Construction}, booktitle={Proceedings of the Thirty-Fourth
AAAI Conference on Artificial Intelligence (AAAI 2020)}, author={Al-Khatib, Khalid
and Hou, Yufang and Wachsmuth, Henning and Jochim, Charles and Bonin, Francesca
and Stein, Benno}, year={2020}, pages={7367–7374} }'
chicago: Al-Khatib, Khalid, Yufang Hou, Henning Wachsmuth, Charles Jochim, Francesca
Bonin, and Benno Stein. “End-to-End Argumentation Knowledge Graph Construction.”
In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence
(AAAI 2020), 7367–74, 2020.
ieee: K. Al-Khatib, Y. Hou, H. Wachsmuth, C. Jochim, F. Bonin, and B. Stein, “End-to-End
Argumentation Knowledge Graph Construction,” in Proceedings of the Thirty-Fourth
AAAI Conference on Artificial Intelligence (AAAI 2020), 2020, pp. 7367–7374.
mla: Al-Khatib, Khalid, et al. “End-to-End Argumentation Knowledge Graph Construction.”
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence
(AAAI 2020), 2020, pp. 7367–74.
short: 'K. Al-Khatib, Y. Hou, H. Wachsmuth, C. Jochim, F. Bonin, B. Stein, in: Proceedings
of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020,
pp. 7367–7374.'
date_created: 2020-02-06T10:41:22Z
date_updated: 2022-01-06T06:52:37Z
department:
- _id: '600'
- _id: '568'
language:
- iso: eng
main_file_link:
- url: https://aaai.org/ojs/index.php/AAAI/article/view/6231
page: 7367 - 7374
publication: Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence
(AAAI 2020)
status: public
title: End-to-End Argumentation Knowledge Graph Construction
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '15821'
author:
- first_name: Alexander
full_name: Bondarenko, Alexander
last_name: Bondarenko
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Meriem
full_name: Beloucif, Meriem
last_name: Beloucif
- first_name: Chris
full_name: Biemann, Chris
last_name: Biemann
- first_name: Alexander
full_name: Panchenko, Alexander
last_name: Panchenko
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Bondarenko A, Hagen M, Potthast M, et al. Touché: First Shared Task on Argument
Retrieval. In: Proceedings of the 42nd European Conference on Information Retrieval
(ECIR 2020). ; 2020:517-523.'
apa: 'Bondarenko, A., Hagen, M., Potthast, M., Wachsmuth, H., Beloucif, M., Biemann,
C., … Stein, B. (2020). Touché: First Shared Task on Argument Retrieval. In Proceedings
of the 42nd European Conference on Information Retrieval (ECIR 2020) (pp.
517–523).'
bibtex: '@inproceedings{Bondarenko_Hagen_Potthast_Wachsmuth_Beloucif_Biemann_Panchenko_Stein_2020,
title={Touché: First Shared Task on Argument Retrieval}, booktitle={Proceedings
of the 42nd European Conference on Information Retrieval (ECIR 2020)}, author={Bondarenko,
Alexander and Hagen, Matthias and Potthast, Martin and Wachsmuth, Henning and
Beloucif, Meriem and Biemann, Chris and Panchenko, Alexander and Stein, Benno},
year={2020}, pages={517–523} }'
chicago: 'Bondarenko, Alexander, Matthias Hagen, Martin Potthast, Henning Wachsmuth,
Meriem Beloucif, Chris Biemann, Alexander Panchenko, and Benno Stein. “Touché:
First Shared Task on Argument Retrieval.” In Proceedings of the 42nd European
Conference on Information Retrieval (ECIR 2020), 517–23, 2020.'
ieee: 'A. Bondarenko et al., “Touché: First Shared Task on Argument Retrieval,”
in Proceedings of the 42nd European Conference on Information Retrieval (ECIR
2020), 2020, pp. 517–523.'
mla: 'Bondarenko, Alexander, et al. “Touché: First Shared Task on Argument Retrieval.”
Proceedings of the 42nd European Conference on Information Retrieval (ECIR
2020), 2020, pp. 517–23.'
short: 'A. Bondarenko, M. Hagen, M. Potthast, H. Wachsmuth, M. Beloucif, C. Biemann,
A. Panchenko, B. Stein, in: Proceedings of the 42nd European Conference on Information
Retrieval (ECIR 2020), 2020, pp. 517–523.'
date_created: 2020-02-06T10:42:19Z
date_updated: 2022-01-06T06:52:37Z
department:
- _id: '600'
- _id: '568'
language:
- iso: eng
main_file_link:
- url: https://webis.de/downloads/publications/papers/stein_2020c.pdf
page: 517-523
publication: Proceedings of the 42nd European Conference on Information Retrieval
(ECIR 2020)
status: public
title: 'Touché: First Shared Task on Argument Retrieval'
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '15825'
author:
- first_name: Johannes
full_name: Kiesel, Johannes
last_name: Kiesel
- first_name: Kevin
full_name: Lang, Kevin
last_name: Lang
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Eva
full_name: Hornecker, Eva
last_name: Hornecker
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Kiesel J, Lang K, Wachsmuth H, Hornecker E, Stein B. Investigating Expectations
for Voice-based and Conversational Argument Search on the Web. In: Proceedings
of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval
(CHIIR 2020). ; 2020:53-62.'
apa: Kiesel, J., Lang, K., Wachsmuth, H., Hornecker, E., & Stein, B. (2020).
Investigating Expectations for Voice-based and Conversational Argument Search
on the Web. In Proceedings of the 2020 ACM SIGIR Conference on Human Information
Interaction & Retrieval (CHIIR 2020) (pp. 53–62).
bibtex: '@inproceedings{Kiesel_Lang_Wachsmuth_Hornecker_Stein_2020, title={Investigating
Expectations for Voice-based and Conversational Argument Search on the Web}, booktitle={Proceedings
of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval
(CHIIR 2020)}, author={Kiesel, Johannes and Lang, Kevin and Wachsmuth, Henning
and Hornecker, Eva and Stein, Benno}, year={2020}, pages={53–62} }'
chicago: Kiesel, Johannes, Kevin Lang, Henning Wachsmuth, Eva Hornecker, and Benno
Stein. “Investigating Expectations for Voice-Based and Conversational Argument
Search on the Web.” In Proceedings of the 2020 ACM SIGIR Conference on Human
Information Interaction & Retrieval (CHIIR 2020), 53–62, 2020.
ieee: J. Kiesel, K. Lang, H. Wachsmuth, E. Hornecker, and B. Stein, “Investigating
Expectations for Voice-based and Conversational Argument Search on the Web,” in
Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction
& Retrieval (CHIIR 2020), 2020, pp. 53–62.
mla: Kiesel, Johannes, et al. “Investigating Expectations for Voice-Based and Conversational
Argument Search on the Web.” Proceedings of the 2020 ACM SIGIR Conference on
Human Information Interaction & Retrieval (CHIIR 2020), 2020, pp. 53–62.
short: 'J. Kiesel, K. Lang, H. Wachsmuth, E. Hornecker, B. Stein, in: Proceedings
of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval
(CHIIR 2020), 2020, pp. 53–62.'
date_created: 2020-02-06T10:49:08Z
date_updated: 2022-01-06T06:52:37Z
department:
- _id: '600'
- _id: '568'
language:
- iso: eng
main_file_link:
- url: https://webis.de/downloads/publications/papers/stein_2020b.pdf
page: 53-62
publication: Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction
& Retrieval (CHIIR 2020)
status: public
title: Investigating Expectations for Voice-based and Conversational Argument Search
on the Web
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '10330'
author:
- first_name: Dora
full_name: Kiesel, Dora
last_name: Kiesel
- first_name: Patrick
full_name: Riehmann, Patrick
last_name: Riehmann
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Bernd
full_name: Fröhlich, Bernd
last_name: Fröhlich
citation:
ama: Kiesel D, Riehmann P, Wachsmuth H, Stein B, Fröhlich B. Visual Analysis of
Argumentation in Essays. IEEE Transactions of Visualization & Computer
Graphics. 27(2):1139-1148.
apa: Kiesel, D., Riehmann, P., Wachsmuth, H., Stein, B., & Fröhlich, B. (n.d.).
Visual Analysis of Argumentation in Essays. IEEE Transactions of Visualization
& Computer Graphics, 27(2), 1139–1148.
bibtex: '@article{Kiesel_Riehmann_Wachsmuth_Stein_Fröhlich, title={Visual Analysis
of Argumentation in Essays}, volume={27}, number={2}, journal={IEEE Transactions
of Visualization & Computer Graphics}, author={Kiesel, Dora and Riehmann,
Patrick and Wachsmuth, Henning and Stein, Benno and Fröhlich, Bernd}, pages={1139–1148}
}'
chicago: 'Kiesel, Dora, Patrick Riehmann, Henning Wachsmuth, Benno Stein, and Bernd
Fröhlich. “Visual Analysis of Argumentation in Essays.” IEEE Transactions of
Visualization & Computer Graphics 27, no. 2 (n.d.): 1139–48.'
ieee: D. Kiesel, P. Riehmann, H. Wachsmuth, B. Stein, and B. Fröhlich, “Visual Analysis
of Argumentation in Essays,” IEEE Transactions of Visualization & Computer
Graphics, vol. 27, no. 2, pp. 1139–1148.
mla: Kiesel, Dora, et al. “Visual Analysis of Argumentation in Essays.” IEEE
Transactions of Visualization & Computer Graphics, vol. 27, no. 2, pp.
1139–48.
short: D. Kiesel, P. Riehmann, H. Wachsmuth, B. Stein, B. Fröhlich, IEEE Transactions
of Visualization & Computer Graphics 27 (n.d.) 1139–1148.
date_created: 2019-06-27T12:58:13Z
date_updated: 2022-01-06T06:50:37Z
department:
- _id: '600'
intvolume: ' 27'
issue: '2'
language:
- iso: eng
main_file_link:
- url: https://www.uni-weimar.de/fileadmin/user/fak/medien/professuren/Virtual_Reality/documents/publications/Visual_Analysis_of_Argumentation_in_Essays.pdf
page: 1139-1148
publication: IEEE Transactions of Visualization & Computer Graphics
publication_status: accepted
status: public
title: Visual Analysis of Argumentation in Essays
type: journal_article
user_id: '82920'
volume: 27
year: '2020'
...
---
_id: '3776'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Khalid
full_name: Al-Khatib, Khalid
last_name: Al-Khatib
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Chen W-F, Al-Khatib K, Wachsmuth H, Stein B. Analyzing Political Bias and
Unfairness in News Articles at Different Levels of Granularity. In: Proceedings
of the Fourth Workshop on Natural Language Processing and Computational Social
Science. ; 2020:149-154.'
apa: Chen, W.-F., Al-Khatib, K., Wachsmuth, H., & Stein, B. (2020). Analyzing
Political Bias and Unfairness in News Articles at Different Levels of Granularity.
Proceedings of the Fourth Workshop on Natural Language Processing and Computational
Social Science, 149–154.
bibtex: '@inproceedings{Chen_Al-Khatib_Wachsmuth_Stein_2020, title={Analyzing Political
Bias and Unfairness in News Articles at Different Levels of Granularity}, booktitle={Proceedings
of the Fourth Workshop on Natural Language Processing and Computational Social
Science}, author={Chen, Wei-Fan and Al-Khatib, Khalid and Wachsmuth, Henning and
Stein, Benno}, year={2020}, pages={149–154} }'
chicago: Chen, Wei-Fan, Khalid Al-Khatib, Henning Wachsmuth, and Benno Stein. “Analyzing
Political Bias and Unfairness in News Articles at Different Levels of Granularity.”
In Proceedings of the Fourth Workshop on Natural Language Processing and Computational
Social Science, 149–54, 2020.
ieee: W.-F. Chen, K. Al-Khatib, H. Wachsmuth, and B. Stein, “Analyzing Political
Bias and Unfairness in News Articles at Different Levels of Granularity,” in Proceedings
of the Fourth Workshop on Natural Language Processing and Computational Social
Science, 2020, pp. 149–154.
mla: Chen, Wei-Fan, et al. “Analyzing Political Bias and Unfairness in News Articles
at Different Levels of Granularity.” Proceedings of the Fourth Workshop on
Natural Language Processing and Computational Social Science, 2020, pp. 149–54.
short: 'W.-F. Chen, K. Al-Khatib, H. Wachsmuth, B. Stein, in: Proceedings of the
Fourth Workshop on Natural Language Processing and Computational Social Science,
2020, pp. 149–154.'
date_created: 2018-08-02T11:40:56Z
date_updated: 2022-05-09T15:03:31Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.nlpcss-1.16.pdf
page: 149-154
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the Fourth Workshop on Natural Language Processing and
Computational Social Science
status: public
title: Analyzing Political Bias and Unfairness in News Articles at Different Levels
of Granularity
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '20137'
author:
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
citation:
ama: 'Syed S, Chen W-F, Hagen M, Stein B, Wachsmuth H, Potthast M. Task Proposal:
Abstractive Snippet Generation for Web Pages. In: Proceedings of the 13th International
Conference on Natural Language Generation (INLG 2020). ; 2020:237-241.'
apa: 'Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., & Potthast,
M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. Proceedings
of the 13th International Conference on Natural Language Generation (INLG 2020),
237–241.'
bibtex: '@inproceedings{Syed_Chen_Hagen_Stein_Wachsmuth_Potthast_2020, title={Task
Proposal: Abstractive Snippet Generation for Web Pages}, booktitle={Proceedings
of the 13th International Conference on Natural Language Generation (INLG 2020)},
author={Syed, Shahbaz and Chen, Wei-Fan and Hagen, Matthias and Stein, Benno and
Wachsmuth, Henning and Potthast, Martin}, year={2020}, pages={237–241} }'
chicago: 'Syed, Shahbaz, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth,
and Martin Potthast. “Task Proposal: Abstractive Snippet Generation for Web Pages.”
In Proceedings of the 13th International Conference on Natural Language Generation
(INLG 2020), 237–41, 2020.'
ieee: 'S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, and M. Potthast, “Task
Proposal: Abstractive Snippet Generation for Web Pages,” in Proceedings of
the 13th International Conference on Natural Language Generation (INLG 2020),
2020, pp. 237–241.'
mla: 'Syed, Shahbaz, et al. “Task Proposal: Abstractive Snippet Generation for Web
Pages.” Proceedings of the 13th International Conference on Natural Language
Generation (INLG 2020), 2020, pp. 237–41.'
short: 'S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, M. Potthast, in:
Proceedings of the 13th International Conference on Natural Language Generation
(INLG 2020), 2020, pp. 237–241.'
date_created: 2020-10-20T13:00:06Z
date_updated: 2022-05-09T15:03:11Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.inlg-1.30.pdf
page: 237-241
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the 13th International Conference on Natural Language
Generation (INLG 2020)
status: public
title: 'Task Proposal: Abstractive Snippet Generation for Web Pages'
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '3818'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Khalid
full_name: Al-Khatib, Khalid
last_name: Al-Khatib
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Chen W-F, Al-Khatib K, Stein B, Wachsmuth H. Detecting Media Bias in News
Articles using Gaussian Bias Distributions. In: Findings of the Association
for Computational Linguistics: EMNLP 2020. ; 2020:4290-4300.'
apa: 'Chen, W.-F., Al-Khatib, K., Stein, B., & Wachsmuth, H. (2020). Detecting
Media Bias in News Articles using Gaussian Bias Distributions. Findings of
the Association for Computational Linguistics: EMNLP 2020, 4290–4300.'
bibtex: '@inproceedings{Chen_Al-Khatib_Stein_Wachsmuth_2020, title={Detecting Media
Bias in News Articles using Gaussian Bias Distributions}, booktitle={Findings
of the Association for Computational Linguistics: EMNLP 2020}, author={Chen, Wei-Fan
and Al-Khatib, Khalid and Stein, Benno and Wachsmuth, Henning}, year={2020}, pages={4290–4300}
}'
chicago: 'Chen, Wei-Fan, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “Detecting
Media Bias in News Articles Using Gaussian Bias Distributions.” In Findings
of the Association for Computational Linguistics: EMNLP 2020, 4290–4300, 2020.'
ieee: 'W.-F. Chen, K. Al-Khatib, B. Stein, and H. Wachsmuth, “Detecting Media Bias
in News Articles using Gaussian Bias Distributions,” in Findings of the Association
for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.'
mla: 'Chen, Wei-Fan, et al. “Detecting Media Bias in News Articles Using Gaussian
Bias Distributions.” Findings of the Association for Computational Linguistics:
EMNLP 2020, 2020, pp. 4290–300.'
short: 'W.-F. Chen, K. Al-Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association
for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.'
date_created: 2018-08-02T13:38:46Z
date_updated: 2022-05-09T15:00:46Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2020.findings-emnlp.383.pdf
page: 4290-4300
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: 'Findings of the Association for Computational Linguistics: EMNLP 2020'
status: public
title: Detecting Media Bias in News Articles using Gaussian Bias Distributions
type: conference
user_id: '82920'
year: '2020'
...