---
_id: '55338'
abstract:
- lang: eng
text: Metaphorical language is a pivotal element inthe realm of political framing.
Existing workfrom linguistics and the social sciences providescompelling evidence
regarding the distinctivenessof conceptual framing for politicalideology perspectives.
However, the nature andutilization of metaphors and the effect on audiencesof
different political ideologies withinpolitical discourses are hardly explored.
Toenable research in this direction, in this workwe create a dataset, originally
based on newseditorials and labeled with their persuasive effectson liberals and
conservatives and extend itwith annotations pertaining to metaphorical usageof
language. To that end, first, we identifyall single metaphors and composite metaphors.Secondly,
we provide annotations of the sourceand target domains for each metaphor. As aresult,
our corpus consists of 300 news editorialsannotated with spans of texts containingmetaphors
and the corresponding domains ofwhich these metaphors draw from. Our analysisshows
that liberal readers are affected bymetaphors, whereas conservatives are resistantto
them. Both ideologies are affected differentlybased on the metaphor source and
targetcategory. For example, liberals are affected bymetaphors in the Darkness
{&} Light (e.g., death)source domains, where as the source domain ofNature affects
conservatives more significantly.
author:
- first_name: Meghdut
full_name: Sengupta, Meghdut
id: '99459'
last_name: Sengupta
- first_name: Roxanne
full_name: El Baff, Roxanne
last_name: El Baff
- 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: 'Sengupta M, El Baff R, Alshomary M, Wachsmuth H. Analyzing the Use of Metaphors
in News Editorials for Political Framing. In: Duh K, Gomez H, Bethard S, eds.
Proceedings of the 2024 Conference of the North American Chapter of the Association
for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).
Association for Computational Linguistics; 2024:3621–3631.'
apa: 'Sengupta, M., El Baff, R., Alshomary, M., & Wachsmuth, H. (2024). Analyzing
the Use of Metaphors in News Editorials for Political Framing. In K. Duh, H. Gomez,
& S. Bethard (Eds.), Proceedings of the 2024 Conference of the North American
Chapter of the Association for Computational Linguistics: Human Language Technologies
(Volume 1: Long Papers) (pp. 3621–3631). Association for Computational Linguistics.'
bibtex: '@inproceedings{Sengupta_El Baff_Alshomary_Wachsmuth_2024, place={Mexico
City, Mexico}, title={Analyzing the Use of Metaphors in News Editorials for Political
Framing}, booktitle={Proceedings of the 2024 Conference of the North American
Chapter of the Association for Computational Linguistics: Human Language Technologies
(Volume 1: Long Papers)}, publisher={Association for Computational Linguistics},
author={Sengupta, Meghdut and El Baff, Roxanne and Alshomary, Milad and Wachsmuth,
Henning}, editor={Duh, Kevin and Gomez, Helena and Bethard, Steven}, year={2024},
pages={3621–3631} }'
chicago: 'Sengupta, Meghdut, Roxanne El Baff, Milad Alshomary, and Henning Wachsmuth.
“Analyzing the Use of Metaphors in News Editorials for Political Framing.” In
Proceedings of the 2024 Conference of the North American Chapter of the Association
for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers),
edited by Kevin Duh, Helena Gomez, and Steven Bethard, 3621–3631. Mexico City,
Mexico: Association for Computational Linguistics, 2024.'
ieee: 'M. Sengupta, R. El Baff, M. Alshomary, and H. Wachsmuth, “Analyzing the Use
of Metaphors in News Editorials for Political Framing,” in Proceedings of the
2024 Conference of the North American Chapter of the Association for Computational
Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024, pp.
3621–3631.'
mla: 'Sengupta, Meghdut, et al. “Analyzing the Use of Metaphors in News Editorials
for Political Framing.” Proceedings of the 2024 Conference of the North American
Chapter of the Association for Computational Linguistics: Human Language Technologies
(Volume 1: Long Papers), edited by Kevin Duh et al., Association for Computational
Linguistics, 2024, pp. 3621–3631.'
short: 'M. Sengupta, R. El Baff, M. Alshomary, H. Wachsmuth, in: K. Duh, H. Gomez,
S. Bethard (Eds.), Proceedings of the 2024 Conference of the North American Chapter
of the Association for Computational Linguistics: Human Language Technologies
(Volume 1: Long Papers), Association for Computational Linguistics, Mexico City,
Mexico, 2024, pp. 3621–3631.'
date_created: 2024-07-22T13:08:12Z
date_updated: 2024-07-26T13:02:57Z
department:
- _id: '600'
- _id: '660'
editor:
- first_name: Kevin
full_name: Duh, Kevin
last_name: Duh
- first_name: Helena
full_name: Gomez, Helena
last_name: Gomez
- first_name: Steven
full_name: Bethard, Steven
last_name: Bethard
language:
- iso: eng
page: 3621–3631
place: Mexico City, Mexico
project:
- _id: '127'
name: 'TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens'
publication: 'Proceedings of the 2024 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language Technologies (Volume
1: Long Papers)'
publisher: Association for Computational Linguistics
status: public
title: Analyzing the Use of Metaphors in News Editorials for Political Framing
type: conference
user_id: '3900'
year: '2024'
...
---
_id: '55404'
abstract:
- lang: eng
text: Explanations are pervasive in our lives. Mostly, they occur in dialogical
form where an explainer discusses a concept or phenomenon of interest with an
explainee. Leaving the explainee with a clear understanding is not straightforward
due to the knowledge gap between the two participants. Previous research looked
at the interaction of explanation moves, dialogue acts, and topics in successful
dialogues with expert explainers. However, daily-life explanations often fail,
raising the question of what makes a dialogue successful. In this work, we study
explanation dialogues in terms of the interactions between the explainer and explainee
and how they correlate with the quality of explanations in terms of a successful
understanding on the explainee{’}s side. In particular, we first construct a corpus
of 399 dialogues from the Reddit forum {Explain Like I am Five} and annotate it
for interaction flows and explanation quality. We then analyze the interaction
flows, comparing them to those appearing in expert dialogues. Finally, we encode
the interaction flows using two language models that can handle long inputs, and
we provide empirical evidence for the effectiveness boost gained through the encoding
in predicting the success of explanation dialogues.
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Felix
full_name: Lange, Felix
id: '67893'
last_name: Lange
- first_name: Meisam
full_name: Booshehri, Meisam
last_name: Booshehri
- first_name: Meghdut
full_name: Sengupta, Meghdut
id: '99459'
last_name: Sengupta
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Alshomary M, Lange F, Booshehri M, Sengupta M, Cimiano P, Wachsmuth H. Modeling
the Quality of Dialogical Explanations. In: Calzolari N, Kan M-Y, Hoste V, Lenci
A, Sakti S, Xue N, eds. Proceedings of the 2024 Joint International Conference
on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024).
ELRA and ICCL; 2024:11523–11536.'
apa: Alshomary, M., Lange, F., Booshehri, M., Sengupta, M., Cimiano, P., & Wachsmuth,
H. (2024). Modeling the Quality of Dialogical Explanations. In N. Calzolari, M.-Y.
Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), Proceedings of the
2024 Joint International Conference on Computational Linguistics, Language Resources
and Evaluation (LREC-COLING 2024) (pp. 11523–11536). ELRA and ICCL.
bibtex: '@inproceedings{Alshomary_Lange_Booshehri_Sengupta_Cimiano_Wachsmuth_2024,
place={Torino, Italia}, title={Modeling the Quality of Dialogical Explanations},
booktitle={Proceedings of the 2024 Joint International Conference on Computational
Linguistics, Language Resources and Evaluation (LREC-COLING 2024)}, publisher={ELRA
and ICCL}, author={Alshomary, Milad and Lange, Felix and Booshehri, Meisam and
Sengupta, Meghdut and Cimiano, Philipp and Wachsmuth, Henning}, editor={Calzolari,
Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti,
Sakriani and Xue, Nianwen}, year={2024}, pages={11523–11536} }'
chicago: 'Alshomary, Milad, Felix Lange, Meisam Booshehri, Meghdut Sengupta, Philipp
Cimiano, and Henning Wachsmuth. “Modeling the Quality of Dialogical Explanations.”
In Proceedings of the 2024 Joint International Conference on Computational
Linguistics, Language Resources and Evaluation (LREC-COLING 2024), edited
by Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani
Sakti, and Nianwen Xue, 11523–11536. Torino, Italia: ELRA and ICCL, 2024.'
ieee: M. Alshomary, F. Lange, M. Booshehri, M. Sengupta, P. Cimiano, and H. Wachsmuth,
“Modeling the Quality of Dialogical Explanations,” in Proceedings of the 2024
Joint International Conference on Computational Linguistics, Language Resources
and Evaluation (LREC-COLING 2024), 2024, pp. 11523–11536.
mla: Alshomary, Milad, et al. “Modeling the Quality of Dialogical Explanations.”
Proceedings of the 2024 Joint International Conference on Computational Linguistics,
Language Resources and Evaluation (LREC-COLING 2024), edited by Nicoletta
Calzolari et al., ELRA and ICCL, 2024, pp. 11523–11536.
short: 'M. Alshomary, F. Lange, M. Booshehri, M. Sengupta, P. Cimiano, H. Wachsmuth,
in: N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, N. Xue (Eds.), Proceedings
of the 2024 Joint International Conference on Computational Linguistics, Language
Resources and Evaluation (LREC-COLING 2024), ELRA and ICCL, Torino, Italia, 2024,
pp. 11523–11536.'
date_created: 2024-07-26T13:04:25Z
date_updated: 2024-12-17T11:30:25Z
department:
- _id: '600'
- _id: '660'
editor:
- first_name: Nicoletta
full_name: Calzolari, Nicoletta
last_name: Calzolari
- first_name: Min-Yen
full_name: Kan, Min-Yen
last_name: Kan
- first_name: Veronique
full_name: Hoste, Veronique
last_name: Hoste
- first_name: Alessandro
full_name: Lenci, Alessandro
last_name: Lenci
- first_name: Sakriani
full_name: Sakti, Sakriani
last_name: Sakti
- first_name: Nianwen
full_name: Xue, Nianwen
last_name: Xue
language:
- iso: eng
page: 11523–11536
place: Torino, Italia
project:
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 2024 Joint International Conference on Computational
Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
publisher: ELRA and ICCL
quality_controlled: '1'
status: public
title: Modeling the Quality of Dialogical Explanations
type: conference
user_id: '67893'
year: '2024'
...
---
_id: '55406'
abstract:
- lang: eng
text: Metaphorical language, such as {“}spending time together{”}, projects meaning
from a source domain (here, $money$) to a target domain ($time$). Thereby, it
highlights certain aspects of the target domain, such as the $effort$ behind the
time investment. Highlighting aspects with metaphors (while hiding others) bridges
the two domains and is the core of metaphorical meaning construction. For metaphor
interpretation, linguistic theories stress that identifying the highlighted aspects
is important for a better understanding of metaphors. However, metaphor research
in NLP has not yet dealt with the phenomenon of highlighting. In this paper, we
introduce the task of identifying the main aspect highlighted in a metaphorical
sentence. Given the inherent interaction of source domains and highlighted aspects,
we propose two multitask approaches - a joint learning approach and a continual
learning approach - based on a finetuned contrastive learning model to jointly
predict highlighted aspects and source domains. We further investigate whether
(predicted) information about a source domain leads to better performance in predicting
the highlighted aspects, and vice versa. Our experiments on an existing corpus
suggest that, with the corresponding information, the performance to predict the
other improves in terms of model accuracy in predicting highlighted aspects and
source domains notably compared to the single-task baselines.
author:
- first_name: Meghdut
full_name: Sengupta, Meghdut
id: '99459'
last_name: Sengupta
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Ingrid
full_name: Scharlau, Ingrid
id: '451'
last_name: Scharlau
orcid: 0000-0003-2364-9489
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Sengupta M, Alshomary M, Scharlau I, Wachsmuth H. Modeling Highlighting of
Metaphors in Multitask Contrastive Learning Paradigms. In: Bouamor H, Pino J,
Bali K, eds. Findings of the Association for Computational Linguistics: EMNLP
2023. Association for Computational Linguistics; 2023:4636–4659. doi:10.18653/v1/2023.findings-emnlp.308'
apa: 'Sengupta, M., Alshomary, M., Scharlau, I., & Wachsmuth, H. (2023). Modeling
Highlighting of Metaphors in Multitask Contrastive Learning Paradigms. In H. Bouamor,
J. Pino, & K. Bali (Eds.), Findings of the Association for Computational
Linguistics: EMNLP 2023 (pp. 4636–4659). Association for Computational Linguistics.
https://doi.org/10.18653/v1/2023.findings-emnlp.308'
bibtex: '@inproceedings{Sengupta_Alshomary_Scharlau_Wachsmuth_2023, place={Singapore},
title={Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms},
DOI={10.18653/v1/2023.findings-emnlp.308},
booktitle={Findings of the Association for Computational Linguistics: EMNLP 2023},
publisher={Association for Computational Linguistics}, author={Sengupta, Meghdut
and Alshomary, Milad and Scharlau, Ingrid and Wachsmuth, Henning}, editor={Bouamor,
Houda and Pino, Juan and Bali, Kalika}, year={2023}, pages={4636–4659} }'
chicago: 'Sengupta, Meghdut, Milad Alshomary, Ingrid Scharlau, and Henning Wachsmuth.
“Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.”
In Findings of the Association for Computational Linguistics: EMNLP 2023,
edited by Houda Bouamor, Juan Pino, and Kalika Bali, 4636–4659. Singapore: Association
for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.findings-emnlp.308.'
ieee: 'M. Sengupta, M. Alshomary, I. Scharlau, and H. Wachsmuth, “Modeling Highlighting
of Metaphors in Multitask Contrastive Learning Paradigms,” in Findings of the
Association for Computational Linguistics: EMNLP 2023, 2023, pp. 4636–4659,
doi: 10.18653/v1/2023.findings-emnlp.308.'
mla: 'Sengupta, Meghdut, et al. “Modeling Highlighting of Metaphors in Multitask
Contrastive Learning Paradigms.” Findings of the Association for Computational
Linguistics: EMNLP 2023, edited by Houda Bouamor et al., Association for Computational
Linguistics, 2023, pp. 4636–4659, doi:10.18653/v1/2023.findings-emnlp.308.'
short: 'M. Sengupta, M. Alshomary, I. Scharlau, H. Wachsmuth, in: H. Bouamor, J.
Pino, K. Bali (Eds.), Findings of the Association for Computational Linguistics:
EMNLP 2023, Association for Computational Linguistics, Singapore, 2023, pp. 4636–4659.'
date_created: 2024-07-26T13:09:20Z
date_updated: 2024-07-26T13:19:53Z
department:
- _id: '600'
- _id: '660'
doi: 10.18653/v1/2023.findings-emnlp.308
editor:
- first_name: Houda
full_name: Bouamor, Houda
last_name: Bouamor
- first_name: Juan
full_name: Pino, Juan
last_name: Pino
- first_name: Kalika
full_name: Bali, Kalika
last_name: Bali
language:
- iso: eng
page: 4636–4659
place: Singapore
project:
- _id: '127'
name: 'TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens'
publication: 'Findings of the Association for Computational Linguistics: EMNLP 2023'
publisher: Association for Computational Linguistics
status: public
title: Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms
type: conference
user_id: '3900'
year: '2023'
...
---
_id: '58723'
abstract:
- lang: eng
text: In real-world debates, the most common way to counter an argument is to reason
against its main point, that is, its conclusion. Existing work on the automatic
generation of natural language counter-arguments does not address the relation
to the conclusion, possibly because many arguments leave their conclusion implicit.
In this paper, we hypothesize that the key to effective counter-argument generation
is to explicitly model the argument‘s conclusion and to ensure that the stance
of the generated counter is opposite to that conclusion. In particular, we propose
a multitask approach that jointly learns to generate both the conclusion and the
counter of an input argument. The approach employs a stance-based ranking component
that selects the counter from a diverse set of generated candidates whose stance
best opposes the generated conclusion. In both automatic and manual evaluation,
we provide evidence that our approach generates more relevant and stance-adhering
counters than strong baselines.
author:
- 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: 'Alshomary M, Wachsmuth H. Conclusion-based Counter-Argument Generation. In:
Vlachos A, Augenstein I, eds. Proceedings of the 17th Conference of the European
Chapter of the Association for Computational Linguistics. Association for
Computational Linguistics; 2023:957–967. doi:10.18653/v1/2023.eacl-main.67'
apa: Alshomary, M., & Wachsmuth, H. (2023). Conclusion-based Counter-Argument
Generation. In A. Vlachos & I. Augenstein (Eds.), Proceedings of the 17th
Conference of the European Chapter of the Association for Computational Linguistics
(pp. 957–967). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.eacl-main.67
bibtex: '@inproceedings{Alshomary_Wachsmuth_2023, place={Dubrovnik, Croatia}, title={Conclusion-based
Counter-Argument Generation}, DOI={10.18653/v1/2023.eacl-main.67},
booktitle={Proceedings of the 17th Conference of the European Chapter of the Association
for Computational Linguistics}, publisher={Association for Computational Linguistics},
author={Alshomary, Milad and Wachsmuth, Henning}, editor={Vlachos, Andreas and
Augenstein, Isabelle}, year={2023}, pages={957–967} }'
chicago: 'Alshomary, Milad, and Henning Wachsmuth. “Conclusion-Based Counter-Argument
Generation.” In Proceedings of the 17th Conference of the European Chapter
of the Association for Computational Linguistics, edited by Andreas Vlachos
and Isabelle Augenstein, 957–967. Dubrovnik, Croatia: Association for Computational
Linguistics, 2023. https://doi.org/10.18653/v1/2023.eacl-main.67.'
ieee: 'M. Alshomary and H. Wachsmuth, “Conclusion-based Counter-Argument Generation,”
in Proceedings of the 17th Conference of the European Chapter of the Association
for Computational Linguistics, 2023, pp. 957–967, doi: 10.18653/v1/2023.eacl-main.67.'
mla: Alshomary, Milad, and Henning Wachsmuth. “Conclusion-Based Counter-Argument
Generation.” Proceedings of the 17th Conference of the European Chapter of
the Association for Computational Linguistics, edited by Andreas Vlachos and
Isabelle Augenstein, Association for Computational Linguistics, 2023, pp. 957–967,
doi:10.18653/v1/2023.eacl-main.67.
short: 'M. Alshomary, H. Wachsmuth, in: A. Vlachos, I. Augenstein (Eds.), Proceedings
of the 17th Conference of the European Chapter of the Association for Computational
Linguistics, Association for Computational Linguistics, Dubrovnik, Croatia, 2023,
pp. 957–967.'
date_created: 2025-02-20T08:20:35Z
date_updated: 2025-02-20T08:21:41Z
department:
- _id: '600'
- _id: '660'
doi: 10.18653/v1/2023.eacl-main.67
editor:
- first_name: Andreas
full_name: Vlachos, Andreas
last_name: Vlachos
- first_name: Isabelle
full_name: Augenstein, Isabelle
last_name: Augenstein
language:
- iso: eng
page: 957–967
place: Dubrovnik, Croatia
project:
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 17th Conference of the European Chapter of the Association
for Computational Linguistics
publisher: Association for Computational Linguistics
status: public
title: Conclusion-based Counter-Argument Generation
type: conference
user_id: '3900'
year: '2023'
...
---
_id: '33004'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
citation:
ama: 'Wachsmuth H, Alshomary M. “Mama Always Had a Way of Explaining Things So I
Could Understand”: A Dialogue Corpus for Learning How to Explain. In: Proceedings
of the 29th International Conference on Computational Linguistics. ; 2022:344-354.'
apa: 'Wachsmuth, H., & Alshomary, M. (2022). “Mama Always Had a Way of Explaining
Things So I Could Understand”: A Dialogue Corpus for Learning How to Explain.
Proceedings of the 29th International Conference on Computational Linguistics,
344–354.'
bibtex: '@inproceedings{Wachsmuth_Alshomary_2022, title={“Mama Always Had a Way
of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning How
to Explain}, booktitle={Proceedings of the 29th International Conference on Computational
Linguistics}, author={Wachsmuth, Henning and Alshomary, Milad}, year={2022}, pages={344–354}
}'
chicago: 'Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining
Things So I Could Understand’: A Dialogue Corpus for Learning How to Explain.”
In Proceedings of the 29th International Conference on Computational Linguistics,
344–54, 2022.'
ieee: 'H. Wachsmuth and M. Alshomary, “‘Mama Always Had a Way of Explaining Things
So I Could Understand’: A Dialogue Corpus for Learning How to Explain,” in Proceedings
of the 29th International Conference on Computational Linguistics, 2022, pp.
344–354.'
mla: 'Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining
Things So I Could Understand’: A Dialogue Corpus for Learning How to Explain.”
Proceedings of the 29th International Conference on Computational Linguistics,
2022, pp. 344–54.'
short: 'H. Wachsmuth, M. Alshomary, in: Proceedings of the 29th International Conference
on Computational Linguistics, 2022, pp. 344–354.'
date_created: 2022-08-18T10:00:46Z
date_updated: 2022-11-10T09:06:39Z
department:
- _id: '600'
language:
- iso: eng
page: 344 - 354
publication: Proceedings of the 29th International Conference on Computational Linguistics
status: public
title: '"Mama Always Had a Way of Explaining Things So I Could Understand": A Dialogue
Corpus for Learning How to Explain'
type: conference
user_id: '82920'
year: '2022'
...
---
_id: '22157'
author:
- first_name: Johannes
full_name: Kiesel, Johannes
last_name: Kiesel
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Nicolas
full_name: Handke, Nicolas
last_name: Handke
- first_name: Xiaoni
full_name: Cai, Xiaoni
last_name: Cai
- 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, Alshomary M, Handke N, Cai X, Wachsmuth H, Stein B. Identifying
the Human Values behind Arguments. In: Proceedings of the 60th Annual Meeting
of the Association for Computational Linguistics. ; 2022:4459-4471.'
apa: Kiesel, J., Alshomary, M., Handke, N., Cai, X., Wachsmuth, H., & Stein,
B. (2022). Identifying the Human Values behind Arguments. Proceedings of the
60th Annual Meeting of the Association for Computational Linguistics, 4459–4471.
bibtex: '@inproceedings{Kiesel_Alshomary_Handke_Cai_Wachsmuth_Stein_2022, title={Identifying
the Human Values behind Arguments}, booktitle={Proceedings of the 60th Annual
Meeting of the Association for Computational Linguistics}, author={Kiesel, Johannes
and Alshomary, Milad and Handke, Nicolas and Cai, Xiaoni and Wachsmuth, Henning
and Stein, Benno}, year={2022}, pages={4459–4471} }'
chicago: Kiesel, Johannes, Milad Alshomary, Nicolas Handke, Xiaoni Cai, Henning
Wachsmuth, and Benno Stein. “Identifying the Human Values behind Arguments.” In
Proceedings of the 60th Annual Meeting of the Association for Computational
Linguistics, 4459–71, 2022.
ieee: J. Kiesel, M. Alshomary, N. Handke, X. Cai, H. Wachsmuth, and B. Stein, “Identifying
the Human Values behind Arguments,” in Proceedings of the 60th Annual Meeting
of the Association for Computational Linguistics, 2022, pp. 4459–4471.
mla: Kiesel, Johannes, et al. “Identifying the Human Values behind Arguments.” Proceedings
of the 60th Annual Meeting of the Association for Computational Linguistics,
2022, pp. 4459–71.
short: 'J. Kiesel, M. Alshomary, N. Handke, X. Cai, H. Wachsmuth, B. Stein, in:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics,
2022, pp. 4459–4471.'
date_created: 2021-05-11T23:15:42Z
date_updated: 2022-11-10T09:09:27Z
department:
- _id: '600'
language:
- iso: eng
page: 4459 - 4471
publication: Proceedings of the 60th Annual Meeting of the Association for Computational
Linguistics
status: public
title: Identifying the Human Values behind Arguments
type: conference
user_id: '82920'
year: '2022'
...
---
_id: '34051'
abstract:
- lang: eng
text: An argument is a constellation of premises reasoning towards a certain conclusion.
The automatic generation of conclusions is becoming a very prominent task, raising
the need for automatic measures to assess the quality of these generated conclusions.
The SharedTask at the 9th Workshop on Argument Mining proposes a new task to assess
the novelty and validity of a conclusion given a set of premises. In this paper,
we present a multitask learning approach that transfers the knowledge learned
from the natural language inference task to the tasks at hand. Evaluation results
indicate the importance of both knowledge transfer and joint learning, placing
our approach in the fifth place with strong results compared to baselines.
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Maja
full_name: Stahl, Maja
id: '77647'
last_name: Stahl
citation:
ama: 'Alshomary M, Stahl M. Argument Novelty and Validity Assessment via Multitask
and Transfer Learning. In: Proceedings of the 9th Workshop on Argument Mining.
International Conference on Computational Linguistics; 2022:111–114.'
apa: Alshomary, M., & Stahl, M. (2022). Argument Novelty and Validity Assessment
via Multitask and Transfer Learning. Proceedings of the 9th Workshop on Argument
Mining, 111–114.
bibtex: '@inproceedings{Alshomary_Stahl_2022, place={Online and in Gyeongju, Republic
of Korea}, title={Argument Novelty and Validity Assessment via Multitask and Transfer
Learning}, booktitle={Proceedings of the 9th Workshop on Argument Mining}, publisher={International
Conference on Computational Linguistics}, author={Alshomary, Milad and Stahl,
Maja}, year={2022}, pages={111–114} }'
chicago: 'Alshomary, Milad, and Maja Stahl. “Argument Novelty and Validity Assessment
via Multitask and Transfer Learning.” In Proceedings of the 9th Workshop on
Argument Mining, 111–114. Online and in Gyeongju, Republic of Korea: International
Conference on Computational Linguistics, 2022.'
ieee: M. Alshomary and M. Stahl, “Argument Novelty and Validity Assessment via Multitask
and Transfer Learning,” in Proceedings of the 9th Workshop on Argument Mining,
2022, pp. 111–114.
mla: Alshomary, Milad, and Maja Stahl. “Argument Novelty and Validity Assessment
via Multitask and Transfer Learning.” Proceedings of the 9th Workshop on Argument
Mining, International Conference on Computational Linguistics, 2022, pp. 111–114.
short: 'M. Alshomary, M. Stahl, in: Proceedings of the 9th Workshop on Argument
Mining, International Conference on Computational Linguistics, Online and in Gyeongju,
Republic of Korea, 2022, pp. 111–114.'
date_created: 2022-11-10T09:51:45Z
date_updated: 2022-11-15T08:49:10Z
language:
- iso: eng
page: 111–114
place: Online and in Gyeongju, Republic of Korea
publication: Proceedings of the 9th Workshop on Argument Mining
publication_status: published
publisher: International Conference on Computational Linguistics
status: public
title: Argument Novelty and Validity Assessment via Multitask and Transfer Learning
type: conference
user_id: '77647'
year: '2022'
...
---
_id: '55337'
abstract:
- lang: eng
text: As AI is more and more pervasive in everyday life, humans have an increasing
demand to understand its behavior and decisions. Most research on explainable
AI builds on the premise that there is one ideal explanation to be found. In fact,
however, everyday explanations are co-constructed in a dialogue between the person
explaining (the explainer) and the specific person being explained to (the explainee).
In this paper, we introduce a first corpus of dialogical explanations to enable
NLP research on how humans explain as well as on how AI can learn to imitate this
process. The corpus consists of 65 transcribed English dialogues from the Wired
video series 5 Levels, explaining 13 topics to five explainees of different proficiency.
All 1550 dialogue turns have been manually labeled by five independent professionals
for the topic discussed as well as for the dialogue act and the explanation move
performed. We analyze linguistic patterns of explainers and explainees, and we
explore differences across proficiency levels. BERT-based baseline results indicate
that sequence information helps predicting topics, acts, and moves effectively.
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
citation:
ama: 'Wachsmuth H, Alshomary M. “Mama Always Had a Way of Explaining Things So I
Could Understand”: A Dialogue Corpus for Learning to Construct Explanations. In:
Calzolari N, Huang C-R, Kim H, et al., eds. Proceedings of the 29th International
Conference on Computational Linguistics. International Committee on Computational
Linguistics; 2022:344–354.'
apa: 'Wachsmuth, H., & Alshomary, M. (2022). “Mama Always Had a Way of Explaining
Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations.
In N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky, L. Wanner, K.-S. Choi, P.-M.
Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi, P. Paggio, N. Xue, S. Kim,
Y. Hahm, Z. He, T. K. Lee, E. Santus, F. Bond, & S.-H. Na (Eds.), Proceedings
of the 29th International Conference on Computational Linguistics (pp. 344–354).
International Committee on Computational Linguistics.'
bibtex: '@inproceedings{Wachsmuth_Alshomary_2022, place={Gyeongju, Republic of Korea},
title={“Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue
Corpus for Learning to Construct Explanations}, booktitle={Proceedings of the
29th International Conference on Computational Linguistics}, publisher={International
Committee on Computational Linguistics}, author={Wachsmuth, Henning and Alshomary,
Milad}, editor={Calzolari, Nicoletta and Huang, Chu-Ren and Kim, Hansaem and Pustejovsky,
James and Wanner, Leo and Choi, Key-Sun and Ryu, Pum-Mo and Chen, Hsin-Hsi and
Donatelli, Lucia and Ji, Heng and et al.}, year={2022}, pages={344–354} }'
chicago: 'Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining
Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations.”
In Proceedings of the 29th International Conference on Computational Linguistics,
edited by Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky,
Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, et al., 344–354. Gyeongju, Republic of Korea:
International Committee on Computational Linguistics, 2022.'
ieee: 'H. Wachsmuth and M. Alshomary, “‘Mama Always Had a Way of Explaining Things
So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations,”
in Proceedings of the 29th International Conference on Computational Linguistics,
2022, pp. 344–354.'
mla: 'Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining
Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations.”
Proceedings of the 29th International Conference on Computational Linguistics,
edited by Nicoletta Calzolari et al., International Committee on Computational
Linguistics, 2022, pp. 344–354.'
short: 'H. Wachsmuth, M. Alshomary, in: N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky,
L. Wanner, K.-S. Choi, P.-M. Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi,
P. Paggio, N. Xue, S. Kim, Y. Hahm, Z. He, T.K. Lee, E. Santus, F. Bond, S.-H.
Na (Eds.), Proceedings of the 29th International Conference on Computational Linguistics,
International Committee on Computational Linguistics, Gyeongju, Republic of Korea,
2022, pp. 344–354.'
date_created: 2024-07-22T13:05:42Z
date_updated: 2024-07-26T13:05:45Z
department:
- _id: '600'
- _id: '660'
editor:
- first_name: Nicoletta
full_name: Calzolari, Nicoletta
last_name: Calzolari
- first_name: Chu-Ren
full_name: Huang, Chu-Ren
last_name: Huang
- first_name: Hansaem
full_name: Kim, Hansaem
last_name: Kim
- first_name: James
full_name: Pustejovsky, James
last_name: Pustejovsky
- first_name: Leo
full_name: Wanner, Leo
last_name: Wanner
- first_name: Key-Sun
full_name: Choi, Key-Sun
last_name: Choi
- first_name: Pum-Mo
full_name: Ryu, Pum-Mo
last_name: Ryu
- first_name: Hsin-Hsi
full_name: Chen, Hsin-Hsi
last_name: Chen
- first_name: Lucia
full_name: Donatelli, Lucia
last_name: Donatelli
- first_name: Heng
full_name: Ji, Heng
last_name: Ji
- first_name: Sadao
full_name: Kurohashi, Sadao
last_name: Kurohashi
- first_name: Patrizia
full_name: Paggio, Patrizia
last_name: Paggio
- first_name: Nianwen
full_name: Xue, Nianwen
last_name: Xue
- first_name: Seokhwan
full_name: Kim, Seokhwan
last_name: Kim
- first_name: Younggyun
full_name: Hahm, Younggyun
last_name: Hahm
- first_name: Zhong
full_name: He, Zhong
last_name: He
- first_name: Tony Kyungil
full_name: Lee, Tony Kyungil
last_name: Lee
- first_name: Enrico
full_name: Santus, Enrico
last_name: Santus
- first_name: Francis
full_name: Bond, Francis
last_name: Bond
- first_name: Seung-Hoon
full_name: Na, Seung-Hoon
last_name: Na
language:
- iso: eng
page: 344–354
place: Gyeongju, Republic of Korea
project:
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 29th International Conference on Computational Linguistics
publisher: International Committee on Computational Linguistics
status: public
title: '“Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue
Corpus for Learning to Construct Explanations'
type: conference
user_id: '3900'
year: '2022'
...
---
_id: '34067'
author:
- first_name: Meghdut
full_name: Sengupta, Meghdut
id: '99459'
last_name: Sengupta
- 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: 'Sengupta M, Alshomary M, Wachsmuth H. Back to the Roots: Predicting the Source
Domain of Metaphors using Contrastive Learning. In: Proceedings of the 2022
Workshop on Figurative Language Processing. ; 2022.'
apa: 'Sengupta, M., Alshomary, M., & Wachsmuth, H. (2022). Back to the Roots:
Predicting the Source Domain of Metaphors using Contrastive Learning. Proceedings
of the 2022 Workshop on Figurative Language Processing.'
bibtex: '@inproceedings{Sengupta_Alshomary_Wachsmuth_2022, title={Back to the Roots:
Predicting the Source Domain of Metaphors using Contrastive Learning}, booktitle={Proceedings
of the 2022 Workshop on Figurative Language Processing}, author={Sengupta, Meghdut
and Alshomary, Milad and Wachsmuth, Henning}, year={2022} }'
chicago: 'Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “Back to the
Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.”
In Proceedings of the 2022 Workshop on Figurative Language Processing,
2022.'
ieee: 'M. Sengupta, M. Alshomary, and H. Wachsmuth, “Back to the Roots: Predicting
the Source Domain of Metaphors using Contrastive Learning,” 2022.'
mla: 'Sengupta, Meghdut, et al. “Back to the Roots: Predicting the Source Domain
of Metaphors Using Contrastive Learning.” Proceedings of the 2022 Workshop
on Figurative Language Processing, 2022.'
short: 'M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 2022 Workshop
on Figurative Language Processing, 2022.'
date_created: 2022-11-14T08:49:07Z
date_updated: 2024-07-26T13:08:46Z
department:
- _id: '600'
- _id: '660'
language:
- iso: eng
project:
- _id: '127'
name: 'TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens'
publication: Proceedings of the 2022 Workshop on Figurative Language Processing
status: public
title: 'Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive
Learning'
type: conference
user_id: '3900'
year: '2022'
...
---
_id: '32247'
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Jonas
full_name: Rieskamp, Jonas
id: '77643'
last_name: Rieskamp
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Alshomary M, Rieskamp J, Wachsmuth H. Generating Contrastive Snippets for
Argument Search. In: Proceedings of the 9th International Conference on Computational
Models of Argument. ; 2022:21-31. doi:http://dx.doi.org/10.3233/FAIA220138'
apa: Alshomary, M., Rieskamp, J., & Wachsmuth, H. (2022). Generating Contrastive
Snippets for Argument Search. Proceedings of the 9th International Conference
on Computational Models of Argument, 21–31. http://dx.doi.org/10.3233/FAIA220138
bibtex: '@inproceedings{Alshomary_Rieskamp_Wachsmuth_2022, title={Generating Contrastive
Snippets for Argument Search}, DOI={http://dx.doi.org/10.3233/FAIA220138},
booktitle={Proceedings of the 9th International Conference on Computational Models
of Argument}, author={Alshomary, Milad and Rieskamp, Jonas and Wachsmuth, Henning},
year={2022}, pages={21–31} }'
chicago: Alshomary, Milad, Jonas Rieskamp, and Henning Wachsmuth. “Generating Contrastive
Snippets for Argument Search.” In Proceedings of the 9th International Conference
on Computational Models of Argument, 21–31, 2022. http://dx.doi.org/10.3233/FAIA220138.
ieee: 'M. Alshomary, J. Rieskamp, and H. Wachsmuth, “Generating Contrastive Snippets
for Argument Search,” in Proceedings of the 9th International Conference on
Computational Models of Argument, 2022, pp. 21–31, doi: http://dx.doi.org/10.3233/FAIA220138.'
mla: Alshomary, Milad, et al. “Generating Contrastive Snippets for Argument Search.”
Proceedings of the 9th International Conference on Computational Models of
Argument, 2022, pp. 21–31, doi:http://dx.doi.org/10.3233/FAIA220138.
short: 'M. Alshomary, J. Rieskamp, H. Wachsmuth, in: Proceedings of the 9th International
Conference on Computational Models of Argument, 2022, pp. 21–31.'
date_created: 2022-06-28T09:03:30Z
date_updated: 2025-02-20T08:22:16Z
department:
- _id: '600'
- _id: '660'
doi: http://dx.doi.org/10.3233/FAIA220138
language:
- iso: eng
page: 21 - 31
project:
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 9th International Conference on Computational Models
of Argument
status: public
title: Generating Contrastive Snippets for Argument Search
type: conference
user_id: '3900'
year: '2022'
...
---
_id: '30840'
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Roxanne
full_name: El Baff, Roxanne
last_name: El Baff
- 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, El Baff R, Gurcke T, Wachsmuth H. The Moral Debater: A Study
on the Computational Generation of Morally Framed Arguments. In: Proceedings
of the 60th Annual Meeting of the Association for Computational Linguistics.
; 2022:8782-8797.'
apa: 'Alshomary, M., El Baff, R., Gurcke, T., & Wachsmuth, H. (2022). The Moral
Debater: A Study on the Computational Generation of Morally Framed Arguments.
Proceedings of the 60th Annual Meeting of the Association for Computational
Linguistics, 8782–8797.'
bibtex: '@inproceedings{Alshomary_El Baff_Gurcke_Wachsmuth_2022, title={The Moral
Debater: A Study on the Computational Generation of Morally Framed Arguments},
booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational
Linguistics}, author={Alshomary, Milad and El Baff, Roxanne and Gurcke, Timon
and Wachsmuth, Henning}, year={2022}, pages={8782–8797} }'
chicago: 'Alshomary, Milad, Roxanne El Baff, Timon Gurcke, and Henning Wachsmuth.
“The Moral Debater: A Study on the Computational Generation of Morally Framed
Arguments.” In Proceedings of the 60th Annual Meeting of the Association for
Computational Linguistics, 8782–97, 2022.'
ieee: 'M. Alshomary, R. El Baff, T. Gurcke, and H. Wachsmuth, “The Moral Debater:
A Study on the Computational Generation of Morally Framed Arguments,” in Proceedings
of the 60th Annual Meeting of the Association for Computational Linguistics,
2022, pp. 8782–8797.'
mla: 'Alshomary, Milad, et al. “The Moral Debater: A Study on the Computational
Generation of Morally Framed Arguments.” Proceedings of the 60th Annual Meeting
of the Association for Computational Linguistics, 2022, pp. 8782–97.'
short: 'M. Alshomary, R. El Baff, T. Gurcke, H. Wachsmuth, in: Proceedings of the
60th Annual Meeting of the Association for Computational Linguistics, 2022, pp.
8782–8797.'
date_created: 2022-04-06T14:05:45Z
date_updated: 2025-02-20T08:22:46Z
department:
- _id: '600'
- _id: '660'
language:
- iso: eng
page: 8782 - 8797
project:
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 60th Annual Meeting of the Association for Computational
Linguistics
status: public
title: 'The Moral Debater: A Study on the Computational Generation of Morally Framed
Arguments'
type: conference
user_id: '3900'
year: '2022'
...
---
_id: '22158'
author:
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Khalid
full_name: Al-Khatib, Khalid
last_name: Al-Khatib
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- 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, Al-Khatib K, Alshomary M, Wachsmuth H, Potthast M. Generating Informative
Conclusions for Argumentative Texts. 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. ; 2021:3482-3493.'
apa: 'Syed, S., Al-Khatib, K., Alshomary, M., Wachsmuth, H., & Potthast, M.
(2021). Generating Informative Conclusions for Argumentative Texts. 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, 3482–3493.'
bibtex: '@inproceedings{Syed_Al-Khatib_Alshomary_Wachsmuth_Potthast_2021, title={Generating
Informative Conclusions for Argumentative Texts}, 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): Findings}, author={Syed, Shahbaz and Al-Khatib, Khalid and
Alshomary, Milad and Wachsmuth, Henning and Potthast, Martin}, year={2021}, pages={3482–3493}
}'
chicago: 'Syed, Shahbaz, Khalid Al-Khatib, Milad Alshomary, Henning Wachsmuth, and
Martin Potthast. “Generating Informative Conclusions for Argumentative Texts.”
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, 3482–93, 2021.'
ieee: 'S. Syed, K. Al-Khatib, M. Alshomary, H. Wachsmuth, and M. Potthast, “Generating
Informative Conclusions for Argumentative Texts,” 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, 2021, pp. 3482–3493.'
mla: 'Syed, Shahbaz, et al. “Generating Informative Conclusions for Argumentative
Texts.” 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, 2021, pp. 3482–93.'
short: 'S. Syed, K. Al-Khatib, M. Alshomary, H. Wachsmuth, M. Potthast, 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, 2021, pp. 3482–3493.'
date_created: 2021-05-11T23:18:14Z
date_updated: 2022-01-06T06:55:28Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aclanthology.org/2021.findings-acl.306.pdf
oa: '1'
page: 3482-3493
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): Findings'
status: public
title: Generating Informative Conclusions for Argumentative Texts
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '22449'
author:
- 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: Alshomary M, Wachsmuth H. Toward Audience-aware Argument Generation. Patterns.
2021;2(6).
apa: Alshomary, M., & Wachsmuth, H. (2021). Toward Audience-aware Argument Generation.
Patterns, 2(6).
bibtex: '@article{Alshomary_Wachsmuth_2021, title={Toward Audience-aware Argument
Generation}, volume={2}, number={6}, journal={Patterns}, author={Alshomary, Milad
and Wachsmuth, Henning}, year={2021} }'
chicago: Alshomary, Milad, and Henning Wachsmuth. “Toward Audience-Aware Argument
Generation.” Patterns 2, no. 6 (2021).
ieee: M. Alshomary and H. Wachsmuth, “Toward Audience-aware Argument Generation,”
Patterns, vol. 2, no. 6, 2021.
mla: Alshomary, Milad, and Henning Wachsmuth. “Toward Audience-Aware Argument Generation.”
Patterns, vol. 2, no. 6, 2021.
short: M. Alshomary, H. Wachsmuth, Patterns 2 (2021).
date_created: 2021-06-15T13:53:52Z
date_updated: 2022-01-06T06:55:33Z
intvolume: ' 2'
issue: '6'
language:
- iso: eng
main_file_link:
- url: https://www.sciencedirect.com/science/article/pii/S2666389921000799
publication: Patterns
status: public
title: Toward Audience-aware Argument Generation
type: journal_article
user_id: '82920'
volume: 2
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: '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: '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: '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: '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: '16868'
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Alshomary M, Syed S, Potthast M, Wachsmuth H. Target Inference in Argument
Conclusion Generation. In: Proceedings of 58th Annual Meeting of the Association
for Computational Linguistics (ACL 2020). Proceedings of 58th Annual Meeting
of the Association for Computational Linguistics. Association for Computational
Linguistics; 2020:4334-4345.'
apa: Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2020). Target Inference
in Argument Conclusion Generation. Proceedings of 58th Annual Meeting of the
Association for Computational Linguistics (ACL 2020), 4334–4345.
bibtex: '@inproceedings{Alshomary_Syed_Potthast_Wachsmuth_2020, series={Proceedings
of 58th Annual Meeting of the Association for Computational Linguistics}, title={Target
Inference in Argument Conclusion Generation}, booktitle={Proceedings of 58th Annual
Meeting of the Association for Computational Linguistics (ACL 2020)}, publisher={Association
for Computational Linguistics}, author={Alshomary, Milad and Syed, Shahbaz and
Potthast, Martin and Wachsmuth, Henning}, year={2020}, pages={4334–4345}, collection={Proceedings
of 58th Annual Meeting of the Association for Computational Linguistics} }'
chicago: Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth.
“Target Inference in Argument Conclusion Generation.” In Proceedings of 58th
Annual Meeting of the Association for Computational Linguistics (ACL 2020),
4334–45. Proceedings of 58th Annual Meeting of the Association for Computational
Linguistics. Association for Computational Linguistics, 2020.
ieee: M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Target Inference in
Argument Conclusion Generation,” in Proceedings of 58th Annual Meeting of the
Association for Computational Linguistics (ACL 2020), Seattle, USA, 2020,
pp. 4334–4345.
mla: Alshomary, Milad, et al. “Target Inference in Argument Conclusion Generation.”
Proceedings of 58th Annual Meeting of the Association for Computational Linguistics
(ACL 2020), Association for Computational Linguistics, 2020, pp. 4334–45.
short: 'M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of 58th
Annual Meeting of the Association for Computational Linguistics (ACL 2020), Association
for Computational Linguistics, 2020, pp. 4334–4345.'
conference:
end_date: 2020.07.10
location: Seattle, USA
name: 58th Annual Meeting of the Association for Computational Linguistics (ACL
2020)
start_date: 2020.07.05
date_created: 2020-04-27T10:11:00Z
date_updated: 2022-05-09T15:06:52Z
ddc:
- '000'
department:
- _id: '600'
- _id: '568'
file:
- access_level: closed
content_type: application/pdf
creator: sile2804
date_created: 2020-05-22T06:41:25Z
date_updated: 2020-05-22T06:41:25Z
file_id: '17054'
file_name: acl20-conclusion-generation-frame.pdf
file_size: 1572275
relation: main_file
success: 1
file_date_updated: 2020-05-22T06:41:25Z
has_accepted_license: '1'
language:
- iso: eng
page: 4334-4345
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: Proceedings of 58th Annual Meeting of the Association for Computational
Linguistics (ACL 2020)
publisher: Association for Computational Linguistics
series_title: Proceedings of 58th Annual Meeting of the Association for Computational
Linguistics
status: public
title: Target Inference in Argument Conclusion Generation
type: conference
user_id: '82920'
year: '2020'
...
---
_id: '12931'
author:
- first_name: Yamen
full_name: Ajjour, Yamen
last_name: Ajjour
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Ajjour Y, Alshomary M, Wachsmuth H, Stein B. Modeling Frames in Argumentation.
In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language
Processing and 9th International Joint Conference on Natural Language Processing.
; 2019:2915-2925.'
apa: Ajjour, Y., Alshomary, M., Wachsmuth, H., & Stein, B. (2019). Modeling
Frames in Argumentation. In Proceedings of the 2019 Conference on Empirical
Methods in Natural Language Processing and 9th International Joint Conference
on Natural Language Processing (pp. 2915–2925).
bibtex: '@inproceedings{Ajjour_Alshomary_Wachsmuth_Stein_2019, title={Modeling Frames
in Argumentation}, booktitle={Proceedings of the 2019 Conference on Empirical
Methods in Natural Language Processing and 9th International Joint Conference
on Natural Language Processing}, author={Ajjour, Yamen and Alshomary, Milad and
Wachsmuth, Henning and Stein, Benno}, year={2019}, pages={2915–2925} }'
chicago: Ajjour, Yamen, Milad Alshomary, Henning Wachsmuth, and Benno Stein. “Modeling
Frames in Argumentation.” In Proceedings of the 2019 Conference on Empirical
Methods in Natural Language Processing and 9th International Joint Conference
on Natural Language Processing, 2915–25, 2019.
ieee: Y. Ajjour, M. Alshomary, H. Wachsmuth, and B. Stein, “Modeling Frames in Argumentation,”
in Proceedings of the 2019 Conference on Empirical Methods in Natural Language
Processing and 9th International Joint Conference on Natural Language Processing,
2019, pp. 2915–2925.
mla: Ajjour, Yamen, et al. “Modeling Frames in Argumentation.” Proceedings of
the 2019 Conference on Empirical Methods in Natural Language Processing and 9th
International Joint Conference on Natural Language Processing, 2019, pp. 2915–25.
short: 'Y. Ajjour, M. Alshomary, H. Wachsmuth, B. Stein, in: Proceedings of the
2019 Conference on Empirical Methods in Natural Language Processing and 9th International
Joint Conference on Natural Language Processing, 2019, pp. 2915–2925.'
date_created: 2019-08-14T14:41:12Z
date_updated: 2022-01-06T06:51:26Z
department:
- _id: '600'
- _id: '568'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/D19-1290.pdf
page: 2915 - 2925
publication: Proceedings of the 2019 Conference on Empirical Methods in Natural Language
Processing and 9th International Joint Conference on Natural Language Processing
status: public
title: Modeling Frames in Argumentation
type: conference
user_id: '82920'
year: '2019'
...