---
_id: '22448'
author:
- first_name: Johannes
full_name: Kiesel, Johannes
last_name: Kiesel
- first_name: Damiano
full_name: Spina, Damiano
last_name: Spina
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Kiesel J, Spina D, Wachsmuth H, Stein B. The Meant, the Said, and the Understood:
Conversational Argument Search and Cognitive Biases. In: Proceedings of the
2021 Conversational User Interfaces Conference. ; 2021:1-5.'
apa: 'Kiesel, J., Spina, D., Wachsmuth, H., & Stein, B. (2021). The Meant, the
Said, and the Understood: Conversational Argument Search and Cognitive Biases.
Proceedings of the 2021 Conversational User Interfaces Conference, 1–5.'
bibtex: '@inproceedings{Kiesel_Spina_Wachsmuth_Stein_2021, title={The Meant, the
Said, and the Understood: Conversational Argument Search and Cognitive Biases},
booktitle={Proceedings of the 2021 Conversational User Interfaces Conference},
author={Kiesel, Johannes and Spina, Damiano and Wachsmuth, Henning and Stein,
Benno}, year={2021}, pages={1–5} }'
chicago: 'Kiesel, Johannes, Damiano Spina, Henning Wachsmuth, and Benno Stein. “The
Meant, the Said, and the Understood: Conversational Argument Search and Cognitive
Biases.” In Proceedings of the 2021 Conversational User Interfaces Conference,
1–5, 2021.'
ieee: 'J. Kiesel, D. Spina, H. Wachsmuth, and B. Stein, “The Meant, the Said, and
the Understood: Conversational Argument Search and Cognitive Biases,” in Proceedings
of the 2021 Conversational User Interfaces Conference, 2021, pp. 1–5.'
mla: 'Kiesel, Johannes, et al. “The Meant, the Said, and the Understood: Conversational
Argument Search and Cognitive Biases.” Proceedings of the 2021 Conversational
User Interfaces Conference, 2021, pp. 1–5.'
short: 'J. Kiesel, D. Spina, H. Wachsmuth, B. Stein, in: Proceedings of the 2021
Conversational User Interfaces Conference, 2021, pp. 1–5.'
date_created: 2021-06-15T13:51:36Z
date_updated: 2022-01-06T06:55:33Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://dl.acm.org/doi/fullHtml/10.1145/3469595.3469615
page: 1-5
publication: Proceedings of the 2021 Conversational User Interfaces Conference
status: public
title: 'The Meant, the Said, and the Understood: Conversational Argument Search and
Cognitive Biases'
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '25297'
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Timon
full_name: Gurcke, Timon
id: '52174'
last_name: Gurcke
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Philipp
full_name: Heinisch, Philipp
last_name: Heinisch
- first_name: Maximilian
full_name: Spliethöver, Maximilian
id: '84035'
last_name: Spliethöver
orcid: 0000-0003-4364-1409
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
- 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, Gurcke T, Syed S, et al. Key Point Analysis via Contrastive Learning
and Extractive Argument Summarization. In: Proceedings of the 8th Workshop
on Argument Mining. ; 2021:184-189.'
apa: Alshomary, M., Gurcke, T., Syed, S., Heinisch, P., Spliethöver, M., Cimiano,
P., Potthast, M., & Wachsmuth, H. (2021). Key Point Analysis via Contrastive
Learning and Extractive Argument Summarization. Proceedings of the 8th Workshop
on Argument Mining, 184–189.
bibtex: '@inproceedings{Alshomary_Gurcke_Syed_Heinisch_Spliethöver_Cimiano_Potthast_Wachsmuth_2021,
title={Key Point Analysis via Contrastive Learning and Extractive Argument Summarization},
booktitle={Proceedings of the 8th Workshop on Argument Mining}, author={Alshomary,
Milad and Gurcke, Timon and Syed, Shahbaz and Heinisch, Philipp and Spliethöver,
Maximilian and Cimiano, Philipp and Potthast, Martin and Wachsmuth, Henning},
year={2021}, pages={184–189} }'
chicago: Alshomary, Milad, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian
Spliethöver, Philipp Cimiano, Martin Potthast, and Henning Wachsmuth. “Key Point
Analysis via Contrastive Learning and Extractive Argument Summarization.” In Proceedings
of the 8th Workshop on Argument Mining, 184–89, 2021.
ieee: M. Alshomary et al., “Key Point Analysis via Contrastive Learning and
Extractive Argument Summarization,” in Proceedings of the 8th Workshop on Argument
Mining, 2021, pp. 184–189.
mla: Alshomary, Milad, et al. “Key Point Analysis via Contrastive Learning and Extractive
Argument Summarization.” Proceedings of the 8th Workshop on Argument Mining,
2021, pp. 184–89.
short: 'M. Alshomary, T. Gurcke, S. Syed, P. Heinisch, M. Spliethöver, P. Cimiano,
M. Potthast, H. Wachsmuth, in: Proceedings of the 8th Workshop on Argument Mining,
2021, pp. 184–189.'
date_created: 2021-10-04T12:40:02Z
date_updated: 2022-03-08T12:47:33Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.argmining-1.19.pdf
page: 184 - 189
publication: Proceedings of the 8th Workshop on Argument Mining
status: public
title: Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '25294'
author:
- first_name: Zahra
full_name: Nouri, Zahra
id: '35802'
last_name: Nouri
- first_name: Nikhil
full_name: Prakash, Nikhil
last_name: Prakash
- first_name: Ujwal
full_name: Gadiraju, Ujwal
last_name: Gadiraju
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Nouri Z, Prakash N, Gadiraju U, Wachsmuth H. iClarify - A Tool to Help Requesters
Iteratively Improve Task Descriptions in Crowdsourcing. In: Proceedings of
the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021.
; 2021.'
apa: Nouri, Z., Prakash, N., Gadiraju, U., & Wachsmuth, H. (2021). iClarify
- A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing.
Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing,
HCOMP 2021.
bibtex: '@inproceedings{Nouri_Prakash_Gadiraju_Wachsmuth_2021, title={iClarify -
A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing},
booktitle={Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing,
HCOMP 2021}, author={Nouri, Zahra and Prakash, Nikhil and Gadiraju, Ujwal and
Wachsmuth, Henning}, year={2021} }'
chicago: Nouri, Zahra, Nikhil Prakash, Ujwal Gadiraju, and Henning Wachsmuth. “IClarify
- A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing.”
In Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing,
HCOMP 2021, 2021.
ieee: Z. Nouri, N. Prakash, U. Gadiraju, and H. Wachsmuth, “iClarify - A Tool to
Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing,” 2021.
mla: Nouri, Zahra, et al. “IClarify - A Tool to Help Requesters Iteratively Improve
Task Descriptions in Crowdsourcing.” Proceedings of the Ninth AAAI Conference
on Human Computation and Crowdsourcing, HCOMP 2021, 2021.
short: 'Z. Nouri, N. Prakash, U. Gadiraju, H. Wachsmuth, in: Proceedings of the
Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, 2021.'
date_created: 2021-10-04T12:35:50Z
date_updated: 2022-03-08T12:46:44Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.humancomputation.com/assets/wips_demos/HCOMP_2021_paper_111.pdf
publication: Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing,
HCOMP 2021
status: public
title: iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions
in Crowdsourcing
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '25295'
author:
- first_name: Timon
full_name: Gurcke, Timon
id: '52174'
last_name: Gurcke
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Gurcke T, Alshomary M, Wachsmuth H. Assessing the Sufficiency of Arguments
through Conclusion Generation. In: Proceedings of the 8th Workshop on Argument
Mining. ; 2021:67-77.'
apa: Gurcke, T., Alshomary, M., & Wachsmuth, H. (2021). Assessing the Sufficiency
of Arguments through Conclusion Generation. Proceedings of the 8th Workshop
on Argument Mining, 67–77.
bibtex: '@inproceedings{Gurcke_Alshomary_Wachsmuth_2021, title={Assessing the Sufficiency
of Arguments through Conclusion Generation}, booktitle={Proceedings of the 8th
Workshop on Argument Mining}, author={Gurcke, Timon and Alshomary, Milad and Wachsmuth,
Henning}, year={2021}, pages={67–77} }'
chicago: Gurcke, Timon, Milad Alshomary, and Henning Wachsmuth. “Assessing the Sufficiency
of Arguments through Conclusion Generation.” In Proceedings of the 8th Workshop
on Argument Mining, 67–77, 2021.
ieee: T. Gurcke, M. Alshomary, and H. Wachsmuth, “Assessing the Sufficiency of Arguments
through Conclusion Generation,” in Proceedings of the 8th Workshop on Argument
Mining, 2021, pp. 67–77.
mla: Gurcke, Timon, et al. “Assessing the Sufficiency of Arguments through Conclusion
Generation.” Proceedings of the 8th Workshop on Argument Mining, 2021,
pp. 67–77.
short: 'T. Gurcke, M. Alshomary, H. Wachsmuth, in: Proceedings of the 8th Workshop
on Argument Mining, 2021, pp. 67–77.'
date_created: 2021-10-04T12:38:02Z
date_updated: 2022-05-06T08:48:51Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.argmining-1.7.pdf
page: 67 - 77
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Proceedings of the 8th Workshop on Argument Mining
status: public
title: Assessing the Sufficiency of Arguments through Conclusion Generation
type: conference
user_id: '52174'
year: '2021'
...
---
_id: '21178'
abstract:
- lang: eng
text: "When engaging in argumentative discourse, skilled human debaters tailor\r\nclaims
to the beliefs of the audience, to construct effective arguments.\r\nRecently,
the field of computational argumentation witnessed extensive effort\r\nto address
the automatic generation of arguments. However, existing approaches\r\ndo not
perform any audience-specific adaptation. In this work, we aim to bridge\r\nthis
gap by studying the task of belief-based claim generation: Given a\r\ncontroversial
topic and a set of beliefs, generate an argumentative claim\r\ntailored to the
beliefs. To tackle this task, we model the people's prior\r\nbeliefs through their
stances on controversial topics and extend\r\nstate-of-the-art text generation
models to generate claims conditioned on the\r\nbeliefs. Our automatic evaluation
confirms the ability of our approach to adapt\r\nclaims to a set of given beliefs.
In a manual study, we additionally evaluate\r\nthe generated claims in terms of
informativeness and their likelihood to be\r\nuttered by someone with a respective
belief. Our results reveal the limitations\r\nof modeling users' beliefs based
on their stances, but demonstrate the\r\npotential of encoding beliefs into argumentative
texts, laying the ground for\r\nfuture exploration of audience reach."
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Timon
full_name: Gurcke, Timon
id: '52174'
last_name: Gurcke
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Alshomary M, Chen W-F, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative
Claims. In: Proceedings of the 16th Conference of the European Chapter of the
Association for Computational Linguistics: Main Volume. Association for Computational
Linguistics; 2021:224-223.'
apa: 'Alshomary, M., Chen, W.-F., Gurcke, T., & Wachsmuth, H. (2021). Belief-based
Generation of Argumentative Claims. Proceedings of the 16th Conference of the
European Chapter of the Association for Computational Linguistics: Main Volume,
224–223.'
bibtex: '@inproceedings{Alshomary_Chen_Gurcke_Wachsmuth_2021, title={Belief-based
Generation of Argumentative Claims}, booktitle={Proceedings of the 16th Conference
of the European Chapter of the Association for Computational Linguistics: Main
Volume}, publisher={Association for Computational Linguistics}, author={Alshomary,
Milad and Chen, Wei-Fan and Gurcke, Timon and Wachsmuth, Henning}, year={2021},
pages={224–223} }'
chicago: 'Alshomary, Milad, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. “Belief-Based
Generation of Argumentative Claims.” In Proceedings of the 16th Conference
of the European Chapter of the Association for Computational Linguistics: Main
Volume, 224–223. Association for Computational Linguistics, 2021.'
ieee: 'M. Alshomary, W.-F. Chen, T. Gurcke, and H. Wachsmuth, “Belief-based Generation
of Argumentative Claims,” in Proceedings of the 16th Conference of the European
Chapter of the Association for Computational Linguistics: Main Volume, Online,
2021, pp. 224–223.'
mla: 'Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.”
Proceedings of the 16th Conference of the European Chapter of the Association
for Computational Linguistics: Main Volume, Association for Computational
Linguistics, 2021, pp. 224–223.'
short: 'M. Alshomary, W.-F. Chen, T. Gurcke, H. Wachsmuth, in: Proceedings of the
16th Conference of the European Chapter of the Association for Computational Linguistics:
Main Volume, Association for Computational Linguistics, 2021, pp. 224–223.'
conference:
location: Online
name: 'Proceedings of the 16th Conference of the European Chapter of the Association
for Computational Linguistics: Main Volume'
date_created: 2021-02-05T08:00:07Z
date_updated: 2022-05-09T15:01:53Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2021.eacl-main.17
page: 224-223
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: 'Proceedings of the 16th Conference of the European Chapter of the Association
for Computational Linguistics: Main Volume'
publisher: Association for Computational Linguistics
status: public
title: Belief-based Generation of Argumentative Claims
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '23709'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Khalid
full_name: Al Khatib, Khalid
last_name: Al Khatib
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Chen W-F, Al Khatib K, Stein B, Wachsmuth H. Controlled Neural Sentence-Level
Reframing of News Articles. In: Findings of the Association for Computational
Linguistics: EMNLP 2021. ; 2021:2683-2693.'
apa: 'Chen, W.-F., Al Khatib, K., Stein, B., & Wachsmuth, H. (2021). Controlled
Neural Sentence-Level Reframing of News Articles. Findings of the Association
for Computational Linguistics: EMNLP 2021, 2683–2693.'
bibtex: '@inproceedings{Chen_Al Khatib_Stein_Wachsmuth_2021, title={Controlled Neural
Sentence-Level Reframing of News Articles}, booktitle={Findings of the Association
for Computational Linguistics: EMNLP 2021}, author={Chen, Wei-Fan and Al Khatib,
Khalid and Stein, Benno and Wachsmuth, Henning}, year={2021}, pages={2683–2693}
}'
chicago: 'Chen, Wei-Fan, Khalid Al Khatib, Benno Stein, and Henning Wachsmuth. “Controlled
Neural Sentence-Level Reframing of News Articles.” In Findings of the Association
for Computational Linguistics: EMNLP 2021, 2683–93, 2021.'
ieee: 'W.-F. Chen, K. Al Khatib, B. Stein, and H. Wachsmuth, “Controlled Neural
Sentence-Level Reframing of News Articles,” in Findings of the Association
for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.'
mla: 'Chen, Wei-Fan, et al. “Controlled Neural Sentence-Level Reframing of News
Articles.” Findings of the Association for Computational Linguistics: EMNLP
2021, 2021, pp. 2683–93.'
short: 'W.-F. Chen, K. Al Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association
for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.'
date_created: 2021-09-02T20:09:20Z
date_updated: 2022-05-09T15:00:09Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.findings-emnlp.228.pdf
page: 2683 - 2693
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: 'Findings of the Association for Computational Linguistics: EMNLP 2021'
status: public
title: Controlled Neural Sentence-Level Reframing of News Articles
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '22229'
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Alshomary M, Syed S, Potthast M, Wachsmuth H. Argument Undermining: Counter-Argument
Generation by Attacking Weak Premises. In: Proceedings of the Joint Conference
of the 59th Annual Meeting of the Association for Computational Linguistics and
the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP
2021). Findings of the Association for Computational Linguistics: ACL-IJCNLP
2021. Association for Computational Linguistics; 2021:1816–1827. doi:10.18653/v1/2021.findings-acl.159'
apa: 'Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2021). Argument
Undermining: Counter-Argument Generation by Attacking Weak Premises. Proceedings
of the Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021), 1816–1827. https://doi.org/10.18653/v1/2021.findings-acl.159'
bibtex: '@inproceedings{Alshomary_Syed_Potthast_Wachsmuth_2021, series={Findings
of the Association for Computational Linguistics: ACL-IJCNLP 2021}, title={Argument
Undermining: Counter-Argument Generation by Attacking Weak Premises}, DOI={10.18653/v1/2021.findings-acl.159},
booktitle={Proceedings of the Joint Conference of the 59th Annual Meeting of the
Association for Computational Linguistics and the 11th International Joint Conference
on Natural Language Processing (ACL-IJCNLP 2021)}, publisher={Association for
Computational Linguistics}, author={Alshomary, Milad and Syed, Shahbaz and Potthast,
Martin and Wachsmuth, Henning}, year={2021}, pages={1816–1827}, collection={Findings
of the Association for Computational Linguistics: ACL-IJCNLP 2021} }'
chicago: 'Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth.
“Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.”
In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association
for Computational Linguistics and the 11th International Joint Conference on Natural
Language Processing (ACL-IJCNLP 2021), 1816–1827. Findings of the Association
for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational
Linguistics, 2021. https://doi.org/10.18653/v1/2021.findings-acl.159.'
ieee: 'M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Argument Undermining:
Counter-Argument Generation by Attacking Weak Premises,” in Proceedings of
the Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021), Online, 2021, pp. 1816–1827, doi: 10.18653/v1/2021.findings-acl.159.'
mla: 'Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation
by Attacking Weak Premises.” Proceedings of the Joint Conference of the 59th
Annual Meeting of the Association for Computational Linguistics and the 11th International
Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association
for Computational Linguistics, 2021, pp. 1816–1827, doi:10.18653/v1/2021.findings-acl.159.'
short: 'M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of the
Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021), Association for Computational Linguistics, 2021, pp. 1816–1827.'
conference:
location: Online
name: The Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021)
date_created: 2021-05-26T07:06:18Z
date_updated: 2022-05-09T15:06:36Z
department:
- _id: '600'
doi: 10.18653/v1/2021.findings-acl.159
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.findings-acl.159.pdf
page: 1816–1827
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of the Joint Conference of the 59th Annual Meeting of the
Association for Computational Linguistics and the 11th International Joint Conference
on Natural Language Processing (ACL-IJCNLP 2021)
publisher: Association for Computational Linguistics
series_title: 'Findings of the Association for Computational Linguistics: ACL-IJCNLP
2021'
status: public
title: 'Argument Undermining: Counter-Argument Generation by Attacking Weak Premises'
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '45788'
author:
- first_name: Jonas
full_name: Bülling, Jonas
last_name: Bülling
citation:
ama: 'Bülling J. Political Speaker Transfer: Learning to Generate Text in the
Styles of Barack Obama and Donald Trump.; 2021.'
apa: 'Bülling, J. (2021). Political Speaker Transfer: Learning to Generate Text
in the Styles of Barack Obama and Donald Trump.'
bibtex: '@book{Bülling_2021, title={Political Speaker Transfer: Learning to Generate
Text in the Styles of Barack Obama and Donald Trump}, author={Bülling, Jonas},
year={2021} }'
chicago: 'Bülling, Jonas. Political Speaker Transfer: Learning to Generate Text
in the Styles of Barack Obama and Donald Trump, 2021.'
ieee: 'J. Bülling, Political Speaker Transfer: Learning to Generate Text in the
Styles of Barack Obama and Donald Trump. 2021.'
mla: 'Bülling, Jonas. Political Speaker Transfer: Learning to Generate Text in
the Styles of Barack Obama and Donald Trump. 2021.'
short: 'J. Bülling, Political Speaker Transfer: Learning to Generate Text in the
Styles of Barack Obama and Donald Trump, 2021.'
date_created: 2023-06-27T12:54:30Z
date_updated: 2023-07-05T07:32:18Z
department:
- _id: '600'
language:
- iso: eng
project:
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
status: public
supervisor:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
title: 'Political Speaker Transfer: Learning to Generate Text in the Styles of Barack
Obama and Donald Trump'
type: mastersthesis
user_id: '477'
year: '2021'
...
---
_id: '45787'
author:
- first_name: Avishek
full_name: Mishra, Avishek
last_name: Mishra
citation:
ama: Mishra A. Computational Text Professionalization Using Neural Sequence-to-Sequence
Models.; 2021.
apa: Mishra, A. (2021). Computational Text Professionalization using Neural Sequence-to-Sequence
Models.
bibtex: '@book{Mishra_2021, title={Computational Text Professionalization using
Neural Sequence-to-Sequence Models}, author={Mishra, Avishek}, year={2021} }'
chicago: Mishra, Avishek. Computational Text Professionalization Using Neural
Sequence-to-Sequence Models, 2021.
ieee: A. Mishra, Computational Text Professionalization using Neural Sequence-to-Sequence
Models. 2021.
mla: Mishra, Avishek. Computational Text Professionalization Using Neural Sequence-to-Sequence
Models. 2021.
short: A. Mishra, Computational Text Professionalization Using Neural Sequence-to-Sequence
Models, 2021.
date_created: 2023-06-27T12:51:08Z
date_updated: 2023-07-05T07:32:50Z
department:
- _id: '600'
language:
- iso: eng
project:
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
status: public
supervisor:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
title: Computational Text Professionalization using Neural Sequence-to-Sequence Models
type: mastersthesis
user_id: '477'
year: '2021'
...
---
_id: '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'
...