---
_id: '61190'
author:
- first_name: Meghdut
full_name: Sengupta, Meghdut
id: '99459'
last_name: Sengupta
- first_name: 'Maximilian '
full_name: 'Muschalik, Maximilian '
last_name: Muschalik
- first_name: Fabian
full_name: Fumagalli, Fabian
id: '93420'
last_name: Fumagalli
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: 'Eyke '
full_name: 'Hüllermeier, Eyke '
last_name: Hüllermeier
- first_name: Debanjan
full_name: Ghosh, Debanjan
last_name: Ghosh
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Sengupta M, Muschalik M, Fumagalli F, et al. Investigating the Impact of Conceptual
Metaphors on LLM-based NLI through Shapley Interactions. In: Accepted in Findings
. EMNLP ; 2025.'
apa: Sengupta, M., Muschalik, M., Fumagalli, F., Hammer, B., Hüllermeier, E., Ghosh,
D., & Wachsmuth, H. (2025). Investigating the Impact of Conceptual Metaphors
on LLM-based NLI through Shapley Interactions. Accepted in Findings . Empirical
Methods in Natural Language Processing (EMNLP 2025).
bibtex: '@inproceedings{Sengupta_Muschalik_Fumagalli_Hammer_Hüllermeier_Ghosh_Wachsmuth_2025,
title={Investigating the Impact of Conceptual Metaphors on LLM-based NLI through
Shapley Interactions}, booktitle={Accepted in Findings }, publisher={EMNLP },
author={Sengupta, Meghdut and Muschalik, Maximilian and Fumagalli, Fabian and
Hammer, Barbara and Hüllermeier, Eyke and Ghosh, Debanjan and Wachsmuth, Henning},
year={2025} }'
chicago: Sengupta, Meghdut, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer,
Eyke Hüllermeier, Debanjan Ghosh, and Henning Wachsmuth. “Investigating the Impact
of Conceptual Metaphors on LLM-Based NLI through Shapley Interactions.” In Accepted
in Findings . EMNLP , 2025.
ieee: M. Sengupta et al., “Investigating the Impact of Conceptual Metaphors
on LLM-based NLI through Shapley Interactions,” presented at the Empirical Methods
in Natural Language Processing (EMNLP 2025), 2025.
mla: Sengupta, Meghdut, et al. “Investigating the Impact of Conceptual Metaphors
on LLM-Based NLI through Shapley Interactions.” Accepted in Findings ,
EMNLP , 2025.
short: 'M. Sengupta, M. Muschalik, F. Fumagalli, B. Hammer, E. Hüllermeier, D. Ghosh,
H. Wachsmuth, in: Accepted in Findings , EMNLP , 2025.'
conference:
end_date: 2025-11-09
name: Empirical Methods in Natural Language Processing (EMNLP 2025)
start_date: 2025-11-04
date_created: 2025-09-11T09:27:10Z
date_updated: 2025-09-11T09:28:23Z
ddc:
- '000'
extern: '1'
file:
- access_level: closed
content_type: application/pdf
creator: meghdut
date_created: 2025-09-11T09:26:18Z
date_updated: 2025-09-11T09:26:18Z
file_id: '61194'
file_name: sengupta25-emnlp.pdf
file_size: 2189153
relation: main_file
success: 1
file_date_updated: 2025-09-11T09:26:18Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '127'
name: 'TRR 318; TP C04: Metaphern als Werkzeug des Erklärens'
publication: 'Accepted in Findings '
publisher: 'EMNLP '
status: public
title: Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley
Interactions
type: conference
user_id: '99459'
year: '2025'
...
---
_id: '61234'
abstract:
- lang: eng
text: "The ability to generate explanations that are understood by explainees is
the\r\nquintessence of explainable artificial intelligence. Since understanding\r\ndepends
on the explainee's background and needs, recent research focused on\r\nco-constructive
explanation dialogues, where an explainer continuously monitors\r\nthe explainee's
understanding and adapts their explanations dynamically. We\r\ninvestigate the
ability of large language models (LLMs) to engage as explainers\r\nin co-constructive
explanation dialogues. In particular, we present a user\r\nstudy in which explainees
interact with an LLM in two settings, one of which\r\ninvolves the LLM being instructed
to explain a topic co-constructively. We\r\nevaluate the explainees' understanding
before and after the dialogue, as well\r\nas their perception of the LLMs' co-constructive
behavior. Our results suggest\r\nthat LLMs show some co-constructive behaviors,
such as asking verification\r\nquestions, that foster the explainees' engagement
and can improve understanding\r\nof a topic. However, their ability to effectively
monitor the current\r\nunderstanding and scaffold the explanations accordingly
remains limited."
author:
- first_name: Leandra
full_name: Fichtel, Leandra
last_name: Fichtel
- first_name: Maximilian
full_name: Spliethöver, Maximilian
id: '84035'
last_name: Spliethöver
orcid: 0000-0003-4364-1409
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Patricia
full_name: Jimenez, Patricia
id: '103339'
last_name: Jimenez
- first_name: Nils
full_name: Klowait, Nils
id: '98454'
last_name: Klowait
orcid: 0000-0002-7347-099X
- first_name: Stefan
full_name: Kopp, Stefan
last_name: Kopp
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Amelie
full_name: Robrecht, Amelie
id: '91982'
last_name: Robrecht
orcid: 0000-0001-5622-8248
- first_name: Ingrid
full_name: Scharlau, Ingrid
id: '451'
last_name: Scharlau
orcid: 0000-0003-2364-9489
- first_name: Lutz
full_name: Terfloth, Lutz
id: '37320'
last_name: Terfloth
- first_name: Anna-Lisa
full_name: Vollmer, Anna-Lisa
id: '86589'
last_name: Vollmer
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Fichtel L, Spliethöver M, Hüllermeier E, et al. Investigating Co-Constructive
Behavior of Large Language Models in Explanation Dialogues. In: Proceedings
of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue.
Association for Computational Linguistics.'
apa: Fichtel, L., Spliethöver, M., Hüllermeier, E., Jimenez, P., Klowait, N., Kopp,
S., Ngonga Ngomo, A.-C., Robrecht, A., Scharlau, I., Terfloth, L., Vollmer, A.-L.,
& Wachsmuth, H. (n.d.). Investigating Co-Constructive Behavior of Large Language
Models in Explanation Dialogues. Proceedings of the 26th Annual Meeting of
the Special Interest Group on Discourse and Dialogue. Annual Meeting of the
Special Interest Group on Discourse and Dialogue.
bibtex: '@inproceedings{Fichtel_Spliethöver_Hüllermeier_Jimenez_Klowait_Kopp_Ngonga
Ngomo_Robrecht_Scharlau_Terfloth_et al., place={Avignon, France}, title={Investigating
Co-Constructive Behavior of Large Language Models in Explanation Dialogues},
booktitle={Proceedings of the 26th Annual Meeting of the Special Interest Group
on Discourse and Dialogue}, publisher={Association for Computational Linguistics},
author={Fichtel, Leandra and Spliethöver, Maximilian and Hüllermeier, Eyke and
Jimenez, Patricia and Klowait, Nils and Kopp, Stefan and Ngonga Ngomo, Axel-Cyrille
and Robrecht, Amelie and Scharlau, Ingrid and Terfloth, Lutz and et al.} }'
chicago: 'Fichtel, Leandra, Maximilian Spliethöver, Eyke Hüllermeier, Patricia Jimenez,
Nils Klowait, Stefan Kopp, Axel-Cyrille Ngonga Ngomo, et al. “Investigating Co-Constructive
Behavior of Large Language Models in Explanation Dialogues.” In Proceedings
of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue.
Avignon, France: Association for Computational Linguistics, n.d.'
ieee: L. Fichtel et al., “Investigating Co-Constructive Behavior of Large
Language Models in Explanation Dialogues,” presented at the Annual Meeting of
the Special Interest Group on Discourse and Dialogue.
mla: Fichtel, Leandra, et al. “Investigating Co-Constructive Behavior of Large Language
Models in Explanation Dialogues.” Proceedings of the 26th Annual Meeting of
the Special Interest Group on Discourse and Dialogue, Association for Computational
Linguistics.
short: 'L. Fichtel, M. Spliethöver, E. Hüllermeier, P. Jimenez, N. Klowait, S. Kopp,
A.-C. Ngonga Ngomo, A. Robrecht, I. Scharlau, L. Terfloth, A.-L. Vollmer, H. Wachsmuth,
in: Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse
and Dialogue, Association for Computational Linguistics, Avignon, France, n.d.'
conference:
name: Annual Meeting of the Special Interest Group on Discourse and Dialogue
date_created: 2025-09-11T16:11:17Z
date_updated: 2025-09-12T09:50:48Z
department:
- _id: '660'
external_id:
arxiv:
- '2504.18483'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2504.18483
oa: '1'
place: Avignon, France
project:
- _id: '118'
name: 'TRR 318: Project Area INF'
- _id: '121'
name: 'TRR 318; TP B01: Ein dialogbasierter Ansatz zur Erklärung von Modellen des
maschinellen Lernens'
- _id: '127'
name: 'TRR 318; TP C04: Metaphern als Werkzeug des Erklärens'
- _id: '122'
name: TRR 318 - Subproject B3
- _id: '119'
name: TRR 318 - Project Area Ö
- _id: '114'
name: 'TRR 318; TP A04: Integration des technischen Modells in das Partnermodell
bei der Erklärung von digitalen Artefakten'
publication: Proceedings of the 26th Annual Meeting of the Special Interest Group
on Discourse and Dialogue
publication_status: accepted
publisher: Association for Computational Linguistics
related_material:
link:
- relation: software
url: https://github.com/webis-de/sigdial25-co-constructive-llms
- relation: research_data
url: https://github.com/webis-de/sigdial25-co-constructive-llms-data
status: public
title: Investigating Co-Constructive Behavior of Large Language Models in Explanation
Dialogues
type: conference
user_id: '84035'
year: '2025'
...
---
_id: '59856'
abstract:
- lang: eng
text: Recent advances on instruction fine-tuning have led to the development of
various prompting techniques for large language models, such as explicit reasoning
steps. However, the success of techniques depends on various parameters, such
as the task, language model, and context provided. Finding an effective prompt
is, therefore, often a trial-and-error process. Most existing approaches to automatic
prompting aim to optimize individual techniques instead of compositions of techniques
and their dependence on the input. To fill this gap, we propose an adaptive prompting
approach that predicts the optimal prompt composition ad-hoc for a given input.
We apply our approach to social bias detection, a highly context-dependent task
that requires semantic understanding. We evaluate it with three large language
models on three datasets, comparing compositions to individual techniques and
other baselines. The results underline the importance of finding an effective
prompt composition. Our approach robustly ensures high detection performance,
and is best in several settings. Moreover, first experiments on other tasks support
its generalizability.
author:
- first_name: Maximilian
full_name: Spliethöver, Maximilian
id: '84035'
last_name: Spliethöver
orcid: 0000-0003-4364-1409
- first_name: Tim
full_name: Knebler, Tim
last_name: Knebler
- first_name: Fabian
full_name: Fumagalli, Fabian
id: '93420'
last_name: Fumagalli
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Spliethöver M, Knebler T, Fumagalli F, et al. Adaptive Prompting: Ad-hoc Prompt
Composition for Social Bias Detection. In: Chiruzzo L, Ritter A, Wang L, eds.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of
the Association for Computational Linguistics: Human Language Technologies (Volume
1: Long Papers). Association for Computational Linguistics; 2025:2421–2449.'
apa: 'Spliethöver, M., Knebler, T., Fumagalli, F., Muschalik, M., Hammer, B., Hüllermeier,
E., & Wachsmuth, H. (2025). Adaptive Prompting: Ad-hoc Prompt Composition
for Social Bias Detection. In L. Chiruzzo, A. Ritter, & L. Wang (Eds.), Proceedings
of the 2025 Conference of the Nations of the Americas Chapter of the Association
for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
(pp. 2421–2449). Association for Computational Linguistics.'
bibtex: '@inproceedings{Spliethöver_Knebler_Fumagalli_Muschalik_Hammer_Hüllermeier_Wachsmuth_2025,
place={Albuquerque, New Mexico}, title={Adaptive Prompting: Ad-hoc Prompt Composition
for Social Bias Detection}, booktitle={Proceedings of the 2025 Conference of the
Nations of the Americas Chapter of the Association for Computational Linguistics:
Human Language Technologies (Volume 1: Long Papers)}, publisher={Association for
Computational Linguistics}, author={Spliethöver, Maximilian and Knebler, Tim and
Fumagalli, Fabian and Muschalik, Maximilian and Hammer, Barbara and Hüllermeier,
Eyke and Wachsmuth, Henning}, editor={Chiruzzo, Luis and Ritter, Alan and Wang,
Lu}, year={2025}, pages={2421–2449} }'
chicago: 'Spliethöver, Maximilian, Tim Knebler, Fabian Fumagalli, Maximilian Muschalik,
Barbara Hammer, Eyke Hüllermeier, and Henning Wachsmuth. “Adaptive Prompting:
Ad-Hoc Prompt Composition for Social Bias Detection.” In Proceedings of the
2025 Conference of the Nations of the Americas Chapter of the Association for
Computational Linguistics: Human Language Technologies (Volume 1: Long Papers),
edited by Luis Chiruzzo, Alan Ritter, and Lu Wang, 2421–2449. Albuquerque, New
Mexico: Association for Computational Linguistics, 2025.'
ieee: 'M. Spliethöver et al., “Adaptive Prompting: Ad-hoc Prompt Composition
for Social Bias Detection,” in Proceedings of the 2025 Conference of the Nations
of the Americas Chapter of the Association for Computational Linguistics: Human
Language Technologies (Volume 1: Long Papers), 2025, pp. 2421–2449.'
mla: 'Spliethöver, Maximilian, et al. “Adaptive Prompting: Ad-Hoc Prompt Composition
for Social Bias Detection.” Proceedings of the 2025 Conference of the Nations
of the Americas Chapter of the Association for Computational Linguistics: Human
Language Technologies (Volume 1: Long Papers), edited by Luis Chiruzzo et
al., Association for Computational Linguistics, 2025, pp. 2421–2449.'
short: 'M. Spliethöver, T. Knebler, F. Fumagalli, M. Muschalik, B. Hammer, E. Hüllermeier,
H. Wachsmuth, in: L. Chiruzzo, A. Ritter, L. Wang (Eds.), Proceedings of the 2025
Conference of the Nations of the Americas Chapter of the Association for Computational
Linguistics: Human Language Technologies (Volume 1: Long Papers), Association
for Computational Linguistics, Albuquerque, New Mexico, 2025, pp. 2421–2449.'
date_created: 2025-05-10T12:37:45Z
date_updated: 2025-09-12T09:51:30Z
department:
- _id: '660'
editor:
- first_name: Luis
full_name: Chiruzzo, Luis
last_name: Chiruzzo
- first_name: Alan
full_name: Ritter, Alan
last_name: Ritter
- first_name: Lu
full_name: Wang, Lu
last_name: Wang
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aclanthology.org/2025.naacl-long.122/
oa: '1'
page: 2421–2449
place: Albuquerque, New Mexico
project:
- _id: '118'
name: 'TRR 318: Project Area INF'
- _id: '126'
name: TRR 318 - Subproject C3
publication: 'Proceedings of the 2025 Conference of the Nations of the Americas Chapter
of the Association for Computational Linguistics: Human Language Technologies (Volume
1: Long Papers)'
publication_identifier:
isbn:
- 979-8-89176-189-6
publication_status: published
publisher: Association for Computational Linguistics
related_material:
link:
- relation: software
url: https://github.com/webis-de/naacl25-prompt-compositions
status: public
title: 'Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection'
type: conference
user_id: '84035'
year: '2025'
...
---
_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: '58722'
abstract:
- lang: eng
text: Dialects introduce syntactic and lexical variations in language that occur
in regional or social groups. Most NLP methods are not sensitive to such variations.
This may lead to unfair behavior of the methods, conveying negative bias towards
dialect speakers. While previous work has studied dialect-related fairness for
aspects like hate speech, other aspects of biased language, such as lewdness,
remain fully unexplored. To fill this gap, we investigate performance disparities
between dialects in the detection of five aspects of biased language and how to
mitigate them. To alleviate bias, we present a multitask learning approach that
models dialect language as an auxiliary task to incorporate syntactic and lexical
variations. In our experiments with African-American English dialect, we provide
empirical evidence that complementing common learning approaches with dialect
modeling improves their fairness. Furthermore, the results suggest that multitask
learning achieves state-of-the-art performance and helps to detect properties
of biased language more reliably.
author:
- first_name: Maximilian
full_name: Spliethöver, Maximilian
id: '84035'
last_name: Spliethöver
orcid: 0000-0003-4364-1409
- first_name: Sai Nikhil
full_name: Menon, Sai Nikhil
last_name: Menon
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Spliethöver M, Menon SN, Wachsmuth H. Disentangling Dialect from Social Bias
via Multitask Learning to Improve Fairness. In: Ku L-W, Martins A, Srikumar V,
eds. Findings of the Association for Computational Linguistics: ACL 2024.
Association for Computational Linguistics; 2024:9294–9313. doi:10.18653/v1/2024.findings-acl.553'
apa: 'Spliethöver, M., Menon, S. N., & Wachsmuth, H. (2024). Disentangling Dialect
from Social Bias via Multitask Learning to Improve Fairness. In L.-W. Ku, A. Martins,
& V. Srikumar (Eds.), Findings of the Association for Computational Linguistics:
ACL 2024 (pp. 9294–9313). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.553'
bibtex: '@inproceedings{Spliethöver_Menon_Wachsmuth_2024, place={Bangkok, Thailand},
title={Disentangling Dialect from Social Bias via Multitask Learning to Improve
Fairness}, DOI={10.18653/v1/2024.findings-acl.553},
booktitle={Findings of the Association for Computational Linguistics: ACL 2024},
publisher={Association for Computational Linguistics}, author={Spliethöver, Maximilian
and Menon, Sai Nikhil and Wachsmuth, Henning}, editor={Ku, Lun-Wei and Martins,
Andre and Srikumar, Vivek}, year={2024}, pages={9294–9313} }'
chicago: 'Spliethöver, Maximilian, Sai Nikhil Menon, and Henning Wachsmuth. “Disentangling
Dialect from Social Bias via Multitask Learning to Improve Fairness.” In Findings
of the Association for Computational Linguistics: ACL 2024, edited by Lun-Wei
Ku, Andre Martins, and Vivek Srikumar, 9294–9313. Bangkok, Thailand: Association
for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.findings-acl.553.'
ieee: 'M. Spliethöver, S. N. Menon, and H. Wachsmuth, “Disentangling Dialect from
Social Bias via Multitask Learning to Improve Fairness,” in Findings of the
Association for Computational Linguistics: ACL 2024, 2024, pp. 9294–9313,
doi: 10.18653/v1/2024.findings-acl.553.'
mla: 'Spliethöver, Maximilian, et al. “Disentangling Dialect from Social Bias via
Multitask Learning to Improve Fairness.” Findings of the Association for Computational
Linguistics: ACL 2024, edited by Lun-Wei Ku et al., Association for Computational
Linguistics, 2024, pp. 9294–9313, doi:10.18653/v1/2024.findings-acl.553.'
short: 'M. Spliethöver, S.N. Menon, H. Wachsmuth, in: L.-W. Ku, A. Martins, V. Srikumar
(Eds.), Findings of the Association for Computational Linguistics: ACL 2024, Association
for Computational Linguistics, Bangkok, Thailand, 2024, pp. 9294–9313.'
date_created: 2025-02-20T08:18:01Z
date_updated: 2025-09-12T09:52:59Z
department:
- _id: '600'
- _id: '660'
doi: 10.18653/v1/2024.findings-acl.553
editor:
- first_name: Lun-Wei
full_name: Ku, Lun-Wei
last_name: Ku
- first_name: Andre
full_name: Martins, Andre
last_name: Martins
- first_name: Vivek
full_name: Srikumar, Vivek
last_name: Srikumar
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aclanthology.org/2024.findings-acl.553/
oa: '1'
page: 9294–9313
place: Bangkok, Thailand
project:
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: 'Findings of the Association for Computational Linguistics: ACL 2024'
publisher: Association for Computational Linguistics
related_material:
link:
- relation: software
url: https://github.com/webis-de/acl24-dialect-aware-bias-detection
status: public
title: Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness
type: conference
user_id: '84035'
year: '2024'
...
---
_id: '34083'
abstract:
- lang: eng
text: In the context of language learning, feedback comment generation is the task
of generating hints or explanatory notes for learner texts that help understand
why a part of text is erroneous. This paper presents our approach to the Feedback
Comment Generation Shared Task, collocated with the 16th International Natural
Language Generation Conference (INLG 2023). The approach augments the generation
of feedback comments by a self-supervised identification of feedback types in
a multitask-learning setting. Within the shared task, other approaches performed
more effective, yet the combined modeling of feedback type classification and
feedback comment generation is superior to performing feedback generation only.
author:
- first_name: Maja
full_name: Stahl, Maja
id: '77647'
last_name: Stahl
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Stahl M, Wachsmuth H. Identifying Feedback Types to Augment Feedback Comment
Generation. In: Proceedings of the 16th International Natural Language Generation
Conference.'
apa: Stahl, M., & Wachsmuth, H. (n.d.). Identifying Feedback Types to Augment
Feedback Comment Generation. Proceedings of the 16th International Natural
Language Generation Conference. 16th International Natural Language Generation
Conference.
bibtex: '@inproceedings{Stahl_Wachsmuth, title={Identifying Feedback Types to Augment
Feedback Comment Generation}, booktitle={Proceedings of the 16th International
Natural Language Generation Conference}, author={Stahl, Maja and Wachsmuth, Henning}
}'
chicago: Stahl, Maja, and Henning Wachsmuth. “Identifying Feedback Types to Augment
Feedback Comment Generation.” In Proceedings of the 16th International Natural
Language Generation Conference, n.d.
ieee: M. Stahl and H. Wachsmuth, “Identifying Feedback Types to Augment Feedback
Comment Generation,” presented at the 16th International Natural Language Generation
Conference.
mla: Stahl, Maja, and Henning Wachsmuth. “Identifying Feedback Types to Augment
Feedback Comment Generation.” Proceedings of the 16th International Natural
Language Generation Conference.
short: 'M. Stahl, H. Wachsmuth, in: Proceedings of the 16th International Natural
Language Generation Conference, n.d.'
conference:
name: 16th International Natural Language Generation Conference
date_created: 2022-11-15T08:47:57Z
date_updated: 2022-11-15T08:48:01Z
extern: '1'
language:
- iso: eng
publication: Proceedings of the 16th International Natural Language Generation Conference
publication_status: accepted
status: public
title: Identifying Feedback Types to Augment Feedback Comment Generation
type: conference
user_id: '77647'
year: '2023'
...
---
_id: '45863'
abstract:
- lang: eng
text: "In the proposal for our CRC in 2011, we formulated a vision of markets for\r\nIT
services that describes an approach to the provision of such services\r\nthat
was novel at that time and, to a large extent, remains so today:\r\n„Our vision
of on-the-fly computing is that of IT services individually and\r\nautomatically
configured and brought to execution from flexibly combinable\r\nservices traded
on markets. At the same time, we aim at organizing\r\nmarkets whose participants
maintain a lively market of services through\r\nappropriate entrepreneurial actions.“\r\nOver
the last 12 years, we have developed methods and techniques to\r\naddress problems
critical to the convenient, efficient, and secure use of\r\non-the-fly computing.
Among other things, we have made the description\r\nof services more convenient
by allowing natural language input,\r\nincreased the quality of configured services
through (natural language)\r\ninteraction and more efficient configuration processes
and analysis\r\nprocedures, made the quality of (the products of) providers in
the\r\nmarketplace transparent through reputation systems, and increased the\r\nresource
efficiency of execution through reconfigurable heterogeneous\r\ncomputing nodes
and an integrated treatment of service description and\r\nconfiguration. We have
also developed network infrastructures that have\r\na high degree of adaptivity,
scalability, efficiency, and reliability, and\r\nprovide cryptographic guarantees
of anonymity and security for market\r\nparticipants and their products and services.\r\nTo
demonstrate the pervasiveness of the OTF computing approach, we\r\nhave implemented
a proof-of-concept for OTF computing that can run\r\ntypical scenarios of an OTF
market. We illustrated the approach using\r\na cutting-edge application scenario
– automated machine learning (AutoML).\r\nFinally, we have been pushing our work
for the perpetuation of\r\nOn-The-Fly Computing beyond the SFB and sharing the
expertise gained\r\nin the SFB in events with industry partners as well as transfer
projects.\r\nThis work required a broad spectrum of expertise. Computer scientists\r\nand
economists with research interests such as computer networks and\r\ndistributed
algorithms, security and cryptography, software engineering\r\nand verification,
configuration and machine learning, computer engineering\r\nand HPC, microeconomics
and game theory, business informatics\r\nand management have successfully collaborated
here."
alternative_title:
- Collaborative Research Centre 901 (2011 – 2023)
author:
- first_name: Claus-Jochen
full_name: Haake, Claus-Jochen
id: '20801'
last_name: Haake
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
citation:
ama: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H. On-The-Fly
Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Heinz
Nixdorf Institut, Universität Paderborn; 2023. doi:10.17619/UNIPB/1-1797
apa: Haake, C.-J., Meyer auf der Heide, F., Platzner, M., Wachsmuth, H., & Wehrheim,
H. (2023). On-The-Fly Computing -- Individualized IT-services in dynamic markets
(Vol. 412). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1797
bibtex: '@book{Haake_Meyer auf der Heide_Platzner_Wachsmuth_Wehrheim_2023, place={Paderborn},
series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={On-The-Fly
Computing -- Individualized IT-services in dynamic markets}, volume={412}, DOI={10.17619/UNIPB/1-1797}, publisher={Heinz
Nixdorf Institut, Universität Paderborn}, author={Haake, Claus-Jochen and Meyer
auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim,
Heike}, year={2023}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts}
}'
chicago: 'Haake, Claus-Jochen, Friedhelm Meyer auf der Heide, Marco Platzner, Henning
Wachsmuth, and Heike Wehrheim. On-The-Fly Computing -- Individualized IT-Services
in Dynamic Markets. Vol. 412. Verlagsschriftenreihe Des Heinz Nixdorf Instituts.
Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.17619/UNIPB/1-1797.'
ieee: 'C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim,
On-The-Fly Computing -- Individualized IT-services in dynamic markets,
vol. 412. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.'
mla: Haake, Claus-Jochen, et al. On-The-Fly Computing -- Individualized IT-Services
in Dynamic Markets. Heinz Nixdorf Institut, Universität Paderborn, 2023, doi:10.17619/UNIPB/1-1797.
short: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim,
On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf
Institut, Universität Paderborn, Paderborn, 2023.
date_created: 2023-07-05T07:16:51Z
date_updated: 2024-07-12T12:07:59Z
ddc:
- '000'
department:
- _id: '7'
- _id: '78'
- _id: '26'
doi: 10.17619/UNIPB/1-1797
file:
- access_level: open_access
content_type: application/pdf
creator: ups
date_created: 2023-07-05T07:15:55Z
date_updated: 2023-07-05T07:19:14Z
file_id: '45864'
file_name: SFB-Buch-Final.pdf
file_size: 15480050
relation: main_file
file_date_updated: 2023-07-05T07:19:14Z
has_accepted_license: '1'
intvolume: ' 412'
language:
- iso: eng
oa: '1'
page: '247'
place: Paderborn
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '2'
name: 'SFB 901 - A: SFB 901 - Project Area A'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '82'
name: 'SFB 901 - T: SFB 901 - Project Area T'
- _id: '5'
grant_number: '160364472'
name: 'SFB 901 - A1: SFB 901 - Möglichkeiten und Grenzen lokaler Strategien in dynamischen
Netzen (Subproject A1)'
- _id: '7'
grant_number: '160364472'
name: 'SFB 901 - A3: SFB 901 - Der Markt für Services: Anreize, Algorithmen, Implementation
(Subproject A3)'
- _id: '8'
grant_number: '160364472'
name: 'SFB 901 - A4: SFB 901 - Empirische Analysen in Märkten für OTF Dienstleistungen
(Subproject A4)'
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
- _id: '10'
grant_number: '160364472'
name: 'SFB 901 - B2: Konfiguration und Bewertung (B02)'
- _id: '11'
name: 'SFB 901 - B3: SFB 901 - Subproject B3'
- _id: '12'
name: 'SFB 901 - B4: SFB 901 - Subproject B4'
- _id: '13'
grant_number: '160364472'
name: 'SFB 901 - C1: SFB 901 - Subproject C1'
- _id: '14'
grant_number: '160364472'
name: 'SFB 901 - C2: SFB 901 - On-The-Fly Compute Centers I: Heterogene Ausführungsumgebungen
(Subproject C2)'
- _id: '16'
grant_number: '160364472'
name: 'SFB 901 - C4: SFB 901 - On-The-Fly Compute Centers II: Ausführung komponierter
Dienste in konfigurierbaren Rechenzentren (Subproject C4)'
- _id: '17'
name: 'SFB 901 - C5: SFB 901 - Subproject C5'
- _id: '83'
name: 'SFB 901 - T1: SFB 901 -Subproject T1'
- _id: '84'
grant_number: '160364472'
name: 'SFB 901 - T2: SFB 901 -Subproject T2'
publication_identifier:
unknown:
- 978-3-947647-31-6
publisher: Heinz Nixdorf Institut, Universität Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
title: On-The-Fly Computing -- Individualized IT-services in dynamic markets
type: book
user_id: '1112'
volume: 412
year: '2023'
...
---
_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: '34049'
author:
- first_name: Anne
full_name: Lauscher, Anne
last_name: Lauscher
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
- first_name: Goran
full_name: Glavaš, Goran
last_name: Glavaš
citation:
ama: Lauscher A, Wachsmuth H, Gurevych I, Glavaš G. On the Role of Knowledge in
Computational Argumentation. Transactions of the Association for Computational
Linguistics. Published online 2022.
apa: Lauscher, A., Wachsmuth, H., Gurevych, I., & Glavaš, G. (2022). On the
Role of Knowledge in Computational Argumentation. Transactions of the Association
for Computational Linguistics.
bibtex: '@article{Lauscher_Wachsmuth_Gurevych_Glavaš_2022, title={On the Role of
Knowledge in Computational Argumentation}, journal={Transactions of the Association
for Computational Linguistics}, author={Lauscher, Anne and Wachsmuth, Henning
and Gurevych, Iryna and Glavaš, Goran}, year={2022} }'
chicago: Lauscher, Anne, Henning Wachsmuth, Iryna Gurevych, and Goran Glavaš. “On
the Role of Knowledge in Computational Argumentation.” Transactions of the
Association for Computational Linguistics, 2022.
ieee: A. Lauscher, H. Wachsmuth, I. Gurevych, and G. Glavaš, “On the Role of Knowledge
in Computational Argumentation,” Transactions of the Association for Computational
Linguistics, 2022.
mla: Lauscher, Anne, et al. “On the Role of Knowledge in Computational Argumentation.”
Transactions of the Association for Computational Linguistics, 2022.
short: A. Lauscher, H. Wachsmuth, I. Gurevych, G. Glavaš, Transactions of the Association
for Computational Linguistics (2022).
date_created: 2022-11-10T08:39:38Z
date_updated: 2022-11-10T08:39:48Z
department:
- _id: '600'
language:
- iso: eng
publication: Transactions of the Association for Computational Linguistics
status: public
title: On the Role of Knowledge in Computational Argumentation
type: journal_article
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: '34082'
abstract:
- lang: eng
text: Gender bias may emerge from an unequal representation of agency and power,
for example, by portraying women frequently as passive and powerless ("She accepted
her future'') and men as proactive and powerful ("He chose his future''). When
language models learn from respective texts, they may reproduce or even amplify
the bias. An effective way to mitigate bias is to generate counterfactual sentences
with opposite agency and power to the training. Recent work targeted agency-specific
verbs from a lexicon to this end. We argue that this is insufficient, due to the
interaction of agency and power and their dependence on context. In this paper,
we thus develop a new rewriting model that identifies verbs with the desired agency
and power in the context of the given sentence. The verbs' probability is then
boosted to encourage the model to rewrite both connotations jointly. According
to automatic metrics, our model effectively controls for power while being competitive
in agency to the state of the art. In our evaluation, human annotators favored
its counterfactuals in terms of both connotations, also deeming its meaning preservation
better.
author:
- first_name: Maja
full_name: Stahl, Maja
id: '77647'
last_name: Stahl
- 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: 'Stahl M, Spliethöver M, Wachsmuth H. To Prefer or to Choose? Generating Agency
and Power Counterfactuals Jointly for Gender Bias Mitigation. In: Proceedings
of the Fifth Workshop on Natural Language Processing and Computational Social
Science.'
apa: Stahl, M., Spliethöver, M., & Wachsmuth, H. (n.d.). To Prefer or to Choose?
Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation.
Proceedings of the Fifth Workshop on Natural Language Processing and Computational
Social Science. Fifth Workshop on NLP and Computational Social Science (NLP+CSS)
At EMNLP 2022, Abu Dhabi, United Arab Emirates.
bibtex: '@inproceedings{Stahl_Spliethöver_Wachsmuth, place={Abu Dhabi, United Arab
Emirates}, title={To Prefer or to Choose? Generating Agency and Power Counterfactuals
Jointly for Gender Bias Mitigation}, booktitle={Proceedings of the Fifth Workshop
on Natural Language Processing and Computational Social Science}, author={Stahl,
Maja and Spliethöver, Maximilian and Wachsmuth, Henning} }'
chicago: Stahl, Maja, Maximilian Spliethöver, and Henning Wachsmuth. “To Prefer
or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias
Mitigation.” In Proceedings of the Fifth Workshop on Natural Language Processing
and Computational Social Science. Abu Dhabi, United Arab Emirates, n.d.
ieee: M. Stahl, M. Spliethöver, and H. Wachsmuth, “To Prefer or to Choose? Generating
Agency and Power Counterfactuals Jointly for Gender Bias Mitigation,” presented
at the Fifth Workshop on NLP and Computational Social Science (NLP+CSS) At EMNLP
2022, Abu Dhabi, United Arab Emirates.
mla: Stahl, Maja, et al. “To Prefer or to Choose? Generating Agency and Power Counterfactuals
Jointly for Gender Bias Mitigation.” Proceedings of the Fifth Workshop on Natural
Language Processing and Computational Social Science.
short: 'M. Stahl, M. Spliethöver, H. Wachsmuth, in: Proceedings of the Fifth Workshop
on Natural Language Processing and Computational Social Science, Abu Dhabi, United
Arab Emirates, n.d.'
conference:
location: Abu Dhabi, United Arab Emirates
name: Fifth Workshop on NLP and Computational Social Science (NLP+CSS) At EMNLP
2022
date_created: 2022-11-15T08:29:26Z
date_updated: 2022-11-18T08:22:56Z
extern: '1'
language:
- iso: eng
place: Abu Dhabi, United Arab Emirates
publication: Proceedings of the Fifth Workshop on Natural Language Processing and
Computational Social Science
publication_status: accepted
quality_controlled: '1'
status: public
title: To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly
for Gender Bias Mitigation
type: conference
user_id: '77647'
year: '2022'
...
---
_id: '33274'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Mei-Hua
full_name: Chen, Mei-Hua
last_name: Chen
- first_name: Garima
full_name: Mudgal, Garima
last_name: Mudgal
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Chen W-F, Chen M-H, Mudgal G, Wachsmuth H. Analyzing Culture-Specific Argument
Structures in Learner Essays. In: Proceedings of the 9th Workshop on Argument
Mining (ArgMining 2022). ; 2022:51-61.'
apa: Chen, W.-F., Chen, M.-H., Mudgal, G., & Wachsmuth, H. (2022). Analyzing
Culture-Specific Argument Structures in Learner Essays. Proceedings of the
9th Workshop on Argument Mining (ArgMining 2022), 51–61.
bibtex: '@inproceedings{Chen_Chen_Mudgal_Wachsmuth_2022, title={Analyzing Culture-Specific
Argument Structures in Learner Essays}, booktitle={Proceedings of the 9th Workshop
on Argument Mining (ArgMining 2022)}, author={Chen, Wei-Fan and Chen, Mei-Hua
and Mudgal, Garima and Wachsmuth, Henning}, year={2022}, pages={51–61} }'
chicago: Chen, Wei-Fan, Mei-Hua Chen, Garima Mudgal, and Henning Wachsmuth. “Analyzing
Culture-Specific Argument Structures in Learner Essays.” In Proceedings of
the 9th Workshop on Argument Mining (ArgMining 2022), 51–61, 2022.
ieee: W.-F. Chen, M.-H. Chen, G. Mudgal, and H. Wachsmuth, “Analyzing Culture-Specific
Argument Structures in Learner Essays,” in Proceedings of the 9th Workshop
on Argument Mining (ArgMining 2022), 2022, pp. 51–61.
mla: Chen, Wei-Fan, et al. “Analyzing Culture-Specific Argument Structures in Learner
Essays.” Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022),
2022, pp. 51–61.
short: 'W.-F. Chen, M.-H. Chen, G. Mudgal, H. Wachsmuth, in: Proceedings of the
9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.'
date_created: 2022-09-06T13:51:23Z
date_updated: 2022-11-18T09:56:17Z
department:
- _id: '600'
language:
- iso: eng
page: 51 - 61
project:
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
publication: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)
status: public
title: Analyzing Culture-Specific Argument Structures in Learner Essays
type: conference
user_id: '477'
year: '2022'
...
---
_id: '31068'
author:
- first_name: Mei-Hua
full_name: Chen, Mei-Hua
last_name: Chen
- first_name: Garima
full_name: Mudgal, Garima
last_name: Mudgal
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Chen M-H, Mudgal G, Chen W-F, Wachsmuth H. Investigating the argumentation
structures of EFL learners from diverse language backgrounds. In: EUROCALL.
; 2022.'
apa: Chen, M.-H., Mudgal, G., Chen, W.-F., & Wachsmuth, H. (2022). Investigating
the argumentation structures of EFL learners from diverse language backgrounds.
EUROCALL.
bibtex: '@inproceedings{Chen_Mudgal_Chen_Wachsmuth_2022, title={Investigating the
argumentation structures of EFL learners from diverse language backgrounds}, booktitle={EUROCALL},
author={Chen, Mei-Hua and Mudgal, Garima and Chen, Wei-Fan and Wachsmuth, Henning},
year={2022} }'
chicago: Chen, Mei-Hua, Garima Mudgal, Wei-Fan Chen, and Henning Wachsmuth. “Investigating
the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.”
In EUROCALL, 2022.
ieee: M.-H. Chen, G. Mudgal, W.-F. Chen, and H. Wachsmuth, “Investigating the argumentation
structures of EFL learners from diverse language backgrounds,” 2022.
mla: Chen, Mei-Hua, et al. “Investigating the Argumentation Structures of EFL Learners
from Diverse Language Backgrounds.” EUROCALL, 2022.
short: 'M.-H. Chen, G. Mudgal, W.-F. Chen, H. Wachsmuth, in: EUROCALL, 2022.'
date_created: 2022-05-05T07:50:21Z
date_updated: 2022-05-09T14:58:39Z
department:
- _id: '600'
language:
- iso: eng
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: EUROCALL
status: public
title: Investigating the argumentation structures of EFL learners from diverse language
backgrounds
type: conference_abstract
user_id: '82920'
year: '2022'
...
---
_id: '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'
...