---
_id: '61323'
author:
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
- first_name: Hendrik
full_name: Buschmeier, Hendrik
last_name: Buschmeier
- first_name: Katharina Justine
full_name: Rohlfing, Katharina Justine
id: '50352'
last_name: Rohlfing
orcid: 0000-0002-5676-8233
- first_name: Meisam
full_name: Booshehri, Meisam
last_name: Booshehri
- first_name: Angela
full_name: Grimminger, Angela
id: '57578'
last_name: Grimminger
citation:
ama: 'Wrede B, Buschmeier H, Rohlfing KJ, Booshehri M, Grimminger A. Incremental
communication. In: Rohlfing KJ, Främling K, Alpsancar S, Thommes K, Lim BY, eds.
Social Explainable AI. Springer; 2026:227-245. doi:10.1007/978-981-96-5290-7_12'
apa: Wrede, B., Buschmeier, H., Rohlfing, K. J., Booshehri, M., & Grimminger,
A. (2026). Incremental communication. In K. J. Rohlfing, K. Främling, S. Alpsancar,
K. Thommes, & B. Y. Lim (Eds.), Social Explainable AI (pp. 227–245).
Springer. https://doi.org/10.1007/978-981-96-5290-7_12
bibtex: '@inbook{Wrede_Buschmeier_Rohlfing_Booshehri_Grimminger_2026, title={Incremental
communication}, DOI={10.1007/978-981-96-5290-7_12},
booktitle={Social Explainable AI}, publisher={Springer}, author={Wrede, Britta
and Buschmeier, Hendrik and Rohlfing, Katharina Justine and Booshehri, Meisam
and Grimminger, Angela}, editor={Rohlfing, Katharina J. and Främling, Kary and
Alpsancar, Suzana and Thommes, Kirsten and Lim, Brian Y.}, year={2026}, pages={227–245}
}'
chicago: Wrede, Britta, Hendrik Buschmeier, Katharina Justine Rohlfing, Meisam Booshehri,
and Angela Grimminger. “Incremental Communication.” In Social Explainable AI,
edited by Katharina J. Rohlfing, Kary Främling, Suzana Alpsancar, Kirsten Thommes,
and Brian Y. Lim, 227–45. Springer, 2026. https://doi.org/10.1007/978-981-96-5290-7_12.
ieee: B. Wrede, H. Buschmeier, K. J. Rohlfing, M. Booshehri, and A. Grimminger,
“Incremental communication,” in Social Explainable AI, K. J. Rohlfing,
K. Främling, S. Alpsancar, K. Thommes, and B. Y. Lim, Eds. Springer, 2026, pp.
227–245.
mla: Wrede, Britta, et al. “Incremental Communication.” Social Explainable AI,
edited by Katharina J. Rohlfing et al., Springer, 2026, pp. 227–45, doi:10.1007/978-981-96-5290-7_12.
short: 'B. Wrede, H. Buschmeier, K.J. Rohlfing, M. Booshehri, A. Grimminger, in:
K.J. Rohlfing, K. Främling, S. Alpsancar, K. Thommes, B.Y. Lim (Eds.), Social
Explainable AI, Springer, 2026, pp. 227–245.'
date_created: 2025-09-17T10:16:36Z
date_updated: 2026-03-19T12:38:37Z
department:
- _id: '660'
doi: 10.1007/978-981-96-5290-7_12
editor:
- first_name: Katharina J.
full_name: Rohlfing, Katharina J.
last_name: Rohlfing
- first_name: Kary
full_name: Främling, Kary
last_name: Främling
- first_name: Suzana
full_name: Alpsancar, Suzana
last_name: Alpsancar
- first_name: Kirsten
full_name: Thommes, Kirsten
last_name: Thommes
- first_name: Brian Y.
full_name: Lim, Brian Y.
last_name: Lim
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 227-245
project:
- _id: '112'
name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
- _id: '111'
name: 'TRR 318; TP A01: Adaptives Erklären'
- _id: '115'
name: 'TRR 318; TP A05: Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog'
- _id: '113'
name: TRR 318 - Subproject A3
- _id: '118'
name: 'TRR 318: Project Area INF'
publication: Social Explainable AI
publication_identifier:
eisbn:
- 978-981-96-5290-7
publication_status: epub_ahead
publisher: Springer
quality_controlled: '1'
related_material:
link:
- relation: original
url: https://link.springer.com/chapter/10.1007/978-981-96-5290-7_12
status: public
title: Incremental communication
type: book_chapter
user_id: '57578'
year: '2026'
...
---
_id: '61325'
author:
- first_name: Anna-Lisa
full_name: Vollmer, Anna-Lisa
last_name: Vollmer
- first_name: Heike M.
full_name: Buhl, Heike M.
id: '27152'
last_name: Buhl
- first_name: Rachid
full_name: Alami, Rachid
last_name: Alami
- first_name: Kary
full_name: Främling, Kary
last_name: Främling
- first_name: Angela
full_name: Grimminger, Angela
id: '57578'
last_name: Grimminger
- first_name: Meisam
full_name: Booshehri, Meisam
last_name: Booshehri
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Vollmer A-L, Buhl HM, Alami R, et al. Components of an explanation for co-constructive
sXAI. In: Rohlfing KJ, Främling K, Lim B, Alpsancar S, Thommes K, eds. Social
Explainable AI. Springer; 2026:39-53. doi:10.1007/978-981-96-5290-7_3'
apa: Vollmer, A.-L., Buhl, H. M., Alami, R., Främling, K., Grimminger, A., Booshehri,
M., & Ngonga Ngomo, A.-C. (2026). Components of an explanation for co-constructive
sXAI. In K. J. Rohlfing, K. Främling, B. Lim, S. Alpsancar, & K. Thommes (Eds.),
Social Explainable AI (pp. 39–53). Springer. https://doi.org/10.1007/978-981-96-5290-7_3
bibtex: '@inbook{Vollmer_Buhl_Alami_Främling_Grimminger_Booshehri_Ngonga Ngomo_2026,
title={Components of an explanation for co-constructive sXAI}, DOI={10.1007/978-981-96-5290-7_3},
booktitle={Social Explainable AI}, publisher={Springer}, author={Vollmer, Anna-Lisa
and Buhl, Heike M. and Alami, Rachid and Främling, Kary and Grimminger, Angela
and Booshehri, Meisam and Ngonga Ngomo, Axel-Cyrille}, editor={Rohlfing, Katharina
J. and Främling, Kary and Lim, Brian and Alpsancar, Suzana and Thommes, Kirsten},
year={2026}, pages={39–53} }'
chicago: Vollmer, Anna-Lisa, Heike M. Buhl, Rachid Alami, Kary Främling, Angela
Grimminger, Meisam Booshehri, and Axel-Cyrille Ngonga Ngomo. “Components of an
Explanation for Co-Constructive SXAI.” In Social Explainable AI, edited
by Katharina J. Rohlfing, Kary Främling, Brian Lim, Suzana Alpsancar, and Kirsten
Thommes, 39–53. Springer, 2026. https://doi.org/10.1007/978-981-96-5290-7_3.
ieee: A.-L. Vollmer et al., “Components of an explanation for co-constructive
sXAI,” in Social Explainable AI, K. J. Rohlfing, K. Främling, B. Lim, S.
Alpsancar, and K. Thommes, Eds. Springer, 2026, pp. 39–53.
mla: Vollmer, Anna-Lisa, et al. “Components of an Explanation for Co-Constructive
SXAI.” Social Explainable AI, edited by Katharina J. Rohlfing et al., Springer,
2026, pp. 39–53, doi:10.1007/978-981-96-5290-7_3.
short: 'A.-L. Vollmer, H.M. Buhl, R. Alami, K. Främling, A. Grimminger, M. Booshehri,
A.-C. Ngonga Ngomo, in: K.J. Rohlfing, K. Främling, B. Lim, S. Alpsancar, K. Thommes
(Eds.), Social Explainable AI, Springer, 2026, pp. 39–53.'
date_created: 2025-09-17T10:16:52Z
date_updated: 2026-03-23T18:28:01Z
department:
- _id: '660'
doi: 10.1007/978-981-96-5290-7_3
editor:
- first_name: Katharina J.
full_name: Rohlfing, Katharina J.
last_name: Rohlfing
- first_name: Kary
full_name: Främling, Kary
last_name: Främling
- first_name: Brian
full_name: Lim, Brian
last_name: Lim
- first_name: Suzana
full_name: Alpsancar, Suzana
last_name: Alpsancar
- first_name: Kirsten
full_name: Thommes, Kirsten
last_name: Thommes
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/chapter/10.1007/978-981-96-5290-7_3
oa: '1'
page: 39-53
project:
- _id: '112'
name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
- _id: '111'
name: 'TRR 318; TP A01: Adaptives Erklären'
- _id: '114'
name: 'TRR 318; TP A04: Integration des technischen Modells in das Partnermodell
bei der Erklärung von digitalen Artefakten'
- _id: '123'
name: TRR 318 - Subproject B5
- _id: '118'
name: 'TRR 318: Project Area INF'
publication: Social Explainable AI
publication_identifier:
eisbn:
- 978-981-96-5290-7
publication_status: epub_ahead
publisher: Springer
quality_controlled: '1'
related_material:
link:
- relation: original
url: https://link.springer.com/chapter/10.1007/978-981-96-5290-7_3
status: public
title: Components of an explanation for co-constructive sXAI
type: book_chapter
user_id: '90826'
year: '2026'
...
---
_id: '65083'
author:
- first_name: Heike M.
full_name: Buhl, Heike M.
id: '27152'
last_name: Buhl
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
- first_name: Josephine Beryl
full_name: Fisher, Josephine Beryl
id: '56345'
last_name: Fisher
orcid: 0000-0002-9997-9241
- first_name: Marco
full_name: Matarese, Marco
last_name: Matarese
citation:
ama: 'Buhl HM, Wrede B, Fisher JB, Matarese M. Adaptation. In: Rohlfing KJ, Främling
K, Lim B, Alpsancar S, Thommes K, eds. Social Explainable AI. Springer;
2026:247-267. doi:https://doi.org/10.1007/978-981-96-5290-7_13'
apa: Buhl, H. M., Wrede, B., Fisher, J. B., & Matarese, M. (2026). Adaptation.
In K. J. Rohlfing, K. Främling, B. Lim, S. Alpsancar, & K. Thommes (Eds.),
Social Explainable AI (pp. 247–267). Springer. https://doi.org/10.1007/978-981-96-5290-7_13
bibtex: '@inbook{Buhl_Wrede_Fisher_Matarese_2026, title={Adaptation}, DOI={https://doi.org/10.1007/978-981-96-5290-7_13},
booktitle={Social Explainable AI}, publisher={Springer}, author={Buhl, Heike M.
and Wrede, Britta and Fisher, Josephine Beryl and Matarese, Marco}, editor={Rohlfing,
Katharina J. and Främling, Kary and Lim, Brian and Alpsancar, Suzana and Thommes,
Kirsten}, year={2026}, pages={247–267} }'
chicago: Buhl, Heike M., Britta Wrede, Josephine Beryl Fisher, and Marco Matarese.
“Adaptation.” In Social Explainable AI, edited by Katharina J. Rohlfing,
Kary Främling, Brian Lim, Suzana Alpsancar, and Kirsten Thommes, 247–67. Springer,
2026. https://doi.org/10.1007/978-981-96-5290-7_13.
ieee: H. M. Buhl, B. Wrede, J. B. Fisher, and M. Matarese, “Adaptation,” in Social
Explainable AI, K. J. Rohlfing, K. Främling, B. Lim, S. Alpsancar, and K.
Thommes, Eds. Springer, 2026, pp. 247–267.
mla: Buhl, Heike M., et al. “Adaptation.” Social Explainable AI, edited by
Katharina J. Rohlfing et al., Springer, 2026, pp. 247–67, doi:https://doi.org/10.1007/978-981-96-5290-7_13.
short: 'H.M. Buhl, B. Wrede, J.B. Fisher, M. Matarese, in: K.J. Rohlfing, K. Främling,
B. Lim, S. Alpsancar, K. Thommes (Eds.), Social Explainable AI, Springer, 2026,
pp. 247–267.'
date_created: 2026-03-23T07:55:56Z
date_updated: 2026-03-23T18:25:34Z
department:
- _id: '427'
- _id: '660'
doi: https://doi.org/10.1007/978-981-96-5290-7_13
editor:
- first_name: Katharina J.
full_name: Rohlfing, Katharina J.
last_name: Rohlfing
- first_name: Kary
full_name: Främling, Kary
last_name: Främling
- first_name: Brian
full_name: Lim, Brian
last_name: Lim
- first_name: Suzana
full_name: Alpsancar, Suzana
last_name: Alpsancar
- first_name: Kirsten
full_name: Thommes, Kirsten
last_name: Thommes
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/chapter/10.1007/978-981-96-5290-7_13
oa: '1'
page: 247-267
project:
- _id: '111'
name: 'TRR 318; TP A01: Adaptives Erklären'
- _id: '114'
name: 'TRR 318; TP A04: Integration des technischen Modells in das Partnermodell
bei der Erklärung von digitalen Artefakten'
- _id: '115'
name: 'TRR 318; TP A05: Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog'
- _id: '118'
name: 'TRR 318: Project Area INF'
publication: Social Explainable AI
publication_identifier:
unknown:
- 978-981-96-5290-7
publisher: Springer
related_material:
link:
- relation: confirmation
url: https://link.springer.com/chapter/10.1007/978-981-96-5290-7_13
status: public
title: Adaptation
type: book_chapter
user_id: '90826'
year: '2026'
...
---
_id: '61150'
abstract:
- lang: eng
text: Since the emergence of the field of eXplainable Artificial Intelligence (XAI),
a growing number of researchers have argued that XAI should consider insights
from the social sciences in order to adapt explanations to the expectations and
needs of human users. This has led to the emergence of a field called Social XAI,
which is concerned with understanding how explanations are actively shaped in
the interaction between a human user and an AI system. Recognizing this turn in
XAI toward making XAI systems more “social” by providing explanations that focus
on human information needs and incorporating insights from human–human explanatory
interactions, in this paper we provide a formal foundation for Social XAI. We
do so by proposing novel ontological accounts of the key terms used in Social
XAI based on Basic Formal Ontology (BFO). Specifically, we provide novel ontological
accounts for explanandum, explanans, understanding, explanation, explainer, explainee,
and context. In doing so, we discuss multifaceted entities in Social XAI (having
both continuant and occurrent facets; e.g., explanation) and the relationship
between understanding and explanation. Additionally, we propose solutions to seemingly
paradoxical views on some terms (e.g., social constructivist vs. individual constructivist
perspective on explanandum).
author:
- first_name: Meisam
full_name: Booshehri, Meisam
id: '93424'
last_name: Booshehri
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
citation:
ama: 'Booshehri M, Buschmeier H, Cimiano P. A BFO-based ontological analysis of
entities in Social XAI. In: Proceedings of the 15th International Conference
on Formal Ontology in Information Systems. IOS Press; 2025:255–268. doi:10.3233/faia250498'
apa: Booshehri, M., Buschmeier, H., & Cimiano, P. (2025). A BFO-based ontological
analysis of entities in Social XAI. In Proceedings of the 15th International
Conference on Formal Ontology in Information Systems (pp. 255–268). IOS Press.
https://doi.org/10.3233/faia250498
bibtex: '@inbook{Booshehri_Buschmeier_Cimiano_2025, title={A BFO-based ontological
analysis of entities in Social XAI}, DOI={10.3233/faia250498},
booktitle={Proceedings of the 15th International Conference on Formal Ontology
in Information Systems}, publisher={IOS Press}, author={Booshehri, Meisam and
Buschmeier, Hendrik and Cimiano, Philipp}, year={2025}, pages={255–268} }'
chicago: Booshehri, Meisam, Hendrik Buschmeier, and Philipp Cimiano. “A BFO-Based
Ontological Analysis of Entities in Social XAI.” In Proceedings of the 15th
International Conference on Formal Ontology in Information Systems, 255–268.
IOS Press, 2025. https://doi.org/10.3233/faia250498.
ieee: M. Booshehri, H. Buschmeier, and P. Cimiano, “A BFO-based ontological analysis
of entities in Social XAI,” in Proceedings of the 15th International Conference
on Formal Ontology in Information Systems, IOS Press, 2025, pp. 255–268.
mla: Booshehri, Meisam, et al. “A BFO-Based Ontological Analysis of Entities in
Social XAI.” Proceedings of the 15th International Conference on Formal Ontology
in Information Systems, IOS Press, 2025, pp. 255–268, doi:10.3233/faia250498.
short: 'M. Booshehri, H. Buschmeier, P. Cimiano, in: Proceedings of the 15th International
Conference on Formal Ontology in Information Systems, IOS Press, 2025, pp. 255–268.'
conference:
end_date: 2025-09-12
location: Catania, Italy
name: 15th International Conference on Formal Ontology in Information Systems
start_date: 2025-09-08
date_created: 2025-09-08T14:00:45Z
date_updated: 2025-09-11T10:16:28Z
department:
- _id: '660'
doi: 10.3233/faia250498
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.3233/FAIA250498
oa: '1'
page: 255–268
project:
- _id: '118'
name: 'TRR 318: Project Area INF'
- _id: '112'
name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
publication: Proceedings of the 15th International Conference on Formal Ontology in
Information Systems
publication_identifier:
isbn:
- '9781643686172'
issn:
- 0922-6389
- 1879-8314
publication_status: published
publisher: IOS Press
quality_controlled: '1'
status: public
title: A BFO-based ontological analysis of entities in Social XAI
type: book_chapter
user_id: '76456'
year: '2025'
...
---
_id: '61153'
author:
- first_name: Meisam
full_name: Booshehri, Meisam
id: '93424'
last_name: Booshehri
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
citation:
ama: 'Booshehri M, Buschmeier H, Cimiano P. A BFO-based ontology of context for
Social XAI. In: Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations.
; 2025.'
apa: 'Booshehri, M., Buschmeier, H., & Cimiano, P. (2025). A BFO-based ontology
of context for Social XAI. Abstracts of the 3rd TRR 318 Conference: Contextualizing
Explanations. 3rd TRR 318 Conference: Contextualizing Explanations, Bielefeld,
Germany.'
bibtex: '@inproceedings{Booshehri_Buschmeier_Cimiano_2025, title={A BFO-based ontology
of context for Social XAI}, booktitle={Abstracts of the 3rd TRR 318 Conference:
Contextualizing Explanations}, author={Booshehri, Meisam and Buschmeier, Hendrik
and Cimiano, Philipp}, year={2025} }'
chicago: 'Booshehri, Meisam, Hendrik Buschmeier, and Philipp Cimiano. “A BFO-Based
Ontology of Context for Social XAI.” In Abstracts of the 3rd TRR 318 Conference:
Contextualizing Explanations, 2025.'
ieee: 'M. Booshehri, H. Buschmeier, and P. Cimiano, “A BFO-based ontology of context
for Social XAI,” presented at the 3rd TRR 318 Conference: Contextualizing Explanations,
Bielefeld, Germany, 2025.'
mla: 'Booshehri, Meisam, et al. “A BFO-Based Ontology of Context for Social XAI.”
Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations,
2025.'
short: 'M. Booshehri, H. Buschmeier, P. Cimiano, in: Abstracts of the 3rd TRR 318
Conference: Contextualizing Explanations, 2025.'
conference:
end_date: 2025-06-18
location: Bielefeld, Germany
name: '3rd TRR 318 Conference: Contextualizing Explanations'
start_date: 2025-06-17
date_created: 2025-09-08T14:15:42Z
date_updated: 2025-09-12T06:29:37Z
department:
- _id: '660'
extern: '1'
language:
- iso: eng
project:
- _id: '118'
name: 'TRR 318: Project Area INF'
- _id: '112'
name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
publication: 'Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations'
quality_controlled: '1'
status: public
title: A BFO-based ontology of context for Social XAI
type: conference_abstract
user_id: '76456'
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: '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: '55403'
abstract:
- lang: eng
text: In this paper we consider the interactive processes by which an explainer
and an explainee cooperate to produce an explanation, which we refer to as co-construction.
Explainable Artificial Intelligence (XAI) is concerned with the development of
intelligent systems and robots that can explain and justify their actions, decisions,
recommendations, and so on. However, the cooperative construction of explanations
remains a key but under-explored issue. This short paper proposes an architecture
for intelligent systems that promotes a co-constructive and interactive approach
to explanation generation. By outlining its basic components and their specific
roles, we aim to contribute to the advancement of XAI computational frameworks
that actively engage users in the explanation process.
author:
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
- first_name: Stefan
full_name: Kopp, Stefan
last_name: Kopp
- first_name: Jaroslaw
full_name: Kornowicz, Jaroslaw
id: '44029'
last_name: Kornowicz
orcid: 0000-0002-5654-9911
- first_name: Olesja
full_name: Lammert, Olesja
id: '47384'
last_name: Lammert
orcid: 0000-0001-8201-5166
- first_name: Marco
full_name: Matarese, Marco
last_name: Matarese
- first_name: Dimitry
full_name: Mindlin, Dimitry
last_name: Mindlin
- first_name: Amelie Sophie
full_name: Robrecht, Amelie Sophie
last_name: Robrecht
- first_name: Anna-Lisa
full_name: Vollmer, Anna-Lisa
id: '86589'
last_name: Vollmer
- first_name: Petra
full_name: Wagner, Petra
id: '74505'
last_name: Wagner
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
- first_name: Meisam
full_name: Booshehri, Meisam
id: '93424'
last_name: Booshehri
citation:
ama: 'Buschmeier H, Cimiano P, Kopp S, et al. Towards a Computational Architecture
for Co-Constructive Explainable Systems. In: Proceedings of the 2024 Workshop
on Explainability Engineering. ACM; 2024:20-25. doi:10.1145/3648505.3648509'
apa: Buschmeier, H., Cimiano, P., Kopp, S., Kornowicz, J., Lammert, O., Matarese,
M., Mindlin, D., Robrecht, A. S., Vollmer, A.-L., Wagner, P., Wrede, B., &
Booshehri, M. (2024). Towards a Computational Architecture for Co-Constructive
Explainable Systems. Proceedings of the 2024 Workshop on Explainability Engineering,
20–25. https://doi.org/10.1145/3648505.3648509
bibtex: '@inproceedings{Buschmeier_Cimiano_Kopp_Kornowicz_Lammert_Matarese_Mindlin_Robrecht_Vollmer_Wagner_et
al._2024, title={Towards a Computational Architecture for Co-Constructive Explainable
Systems}, DOI={10.1145/3648505.3648509},
booktitle={Proceedings of the 2024 Workshop on Explainability Engineering}, publisher={ACM},
author={Buschmeier, Hendrik and Cimiano, Philipp and Kopp, Stefan and Kornowicz,
Jaroslaw and Lammert, Olesja and Matarese, Marco and Mindlin, Dimitry and Robrecht,
Amelie Sophie and Vollmer, Anna-Lisa and Wagner, Petra and et al.}, year={2024},
pages={20–25} }'
chicago: Buschmeier, Hendrik, Philipp Cimiano, Stefan Kopp, Jaroslaw Kornowicz,
Olesja Lammert, Marco Matarese, Dimitry Mindlin, et al. “Towards a Computational
Architecture for Co-Constructive Explainable Systems.” In Proceedings of the
2024 Workshop on Explainability Engineering, 20–25. ACM, 2024. https://doi.org/10.1145/3648505.3648509.
ieee: 'H. Buschmeier et al., “Towards a Computational Architecture for Co-Constructive
Explainable Systems,” in Proceedings of the 2024 Workshop on Explainability
Engineering, Lisbon, Portugal, 2024, pp. 20–25, doi: 10.1145/3648505.3648509.'
mla: Buschmeier, Hendrik, et al. “Towards a Computational Architecture for Co-Constructive
Explainable Systems.” Proceedings of the 2024 Workshop on Explainability Engineering,
ACM, 2024, pp. 20–25, doi:10.1145/3648505.3648509.
short: 'H. Buschmeier, P. Cimiano, S. Kopp, J. Kornowicz, O. Lammert, M. Matarese,
D. Mindlin, A.S. Robrecht, A.-L. Vollmer, P. Wagner, B. Wrede, M. Booshehri, in:
Proceedings of the 2024 Workshop on Explainability Engineering, ACM, 2024, pp.
20–25.'
conference:
location: Lisbon, Portugal
name: 2024 Workshop on Explainability Engineering
date_created: 2024-07-26T11:57:31Z
date_updated: 2025-03-14T19:24:35Z
department:
- _id: '184'
- _id: '178'
- _id: '660'
doi: 10.1145/3648505.3648509
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 20-25
project:
- _id: '125'
name: 'TRR 318 - C2: TRR 318 - Subproject C2'
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
- _id: '112'
grant_number: '438445824'
name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
auswerten (Teilprojekt A02)'
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 2024 Workshop on Explainability Engineering
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: Towards a Computational Architecture for Co-Constructive Explainable Systems
type: conference
user_id: '44029'
year: '2024'
...
---
_id: '55917'
abstract:
- lang: eng
text: This work takes steps towards situating the concepts relevant to explanation
and understanding in explanatory interactions within the scope of Basic Formal
Ontology. We introduce novel ontological accounts of understanding and explanation
in BFO-terms, which foster a shared conceptualization of explanations and explainee's
understanding during explainer-explainee interactions. This approach also enables
the tracking of different aspects of understanding and explanation through cognitive
profiling of various measurable aspects under the heading of process profile in
BFO. Additionally, we differentiate between the private mental process of understanding
and understanding displays. Finally, we characterize the relationship between
understanding displays and explanations.
author:
- first_name: Meisam
full_name: Booshehri, Meisam
last_name: Booshehri
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
citation:
ama: 'Booshehri M, Buschmeier H, Cimiano P. Towards a BFO-based ontology of understanding
in explanatory interactions. In: Proceedings of the 4th International Workshop
on Data Meets Applied Ontologies in Explainable AI (DAO-XAI). International
Association for Ontology and its Applications; 2024.'
apa: Booshehri, M., Buschmeier, H., & Cimiano, P. (2024). Towards a BFO-based
ontology of understanding in explanatory interactions. Proceedings of the 4th
International Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI).
4th International Workshop on Data Meets Applied Ontologies in Explainable AI
(DAO-XAI), Santiago de Compostela, Spain.
bibtex: '@inproceedings{Booshehri_Buschmeier_Cimiano_2024, place={Santiago de Compostela,
Spain}, title={Towards a BFO-based ontology of understanding in explanatory interactions},
booktitle={Proceedings of the 4th International Workshop on Data Meets Applied
Ontologies in Explainable AI (DAO-XAI)}, publisher={International Association
for Ontology and its Applications}, author={Booshehri, Meisam and Buschmeier,
Hendrik and Cimiano, Philipp}, year={2024} }'
chicago: 'Booshehri, Meisam, Hendrik Buschmeier, and Philipp Cimiano. “Towards a
BFO-Based Ontology of Understanding in Explanatory Interactions.” In Proceedings
of the 4th International Workshop on Data Meets Applied Ontologies in Explainable
AI (DAO-XAI). Santiago de Compostela, Spain: International Association for
Ontology and its Applications, 2024.'
ieee: M. Booshehri, H. Buschmeier, and P. Cimiano, “Towards a BFO-based ontology
of understanding in explanatory interactions,” presented at the 4th International
Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI), Santiago
de Compostela, Spain, 2024.
mla: Booshehri, Meisam, et al. “Towards a BFO-Based Ontology of Understanding in
Explanatory Interactions.” Proceedings of the 4th International Workshop on
Data Meets Applied Ontologies in Explainable AI (DAO-XAI), International Association
for Ontology and its Applications, 2024.
short: 'M. Booshehri, H. Buschmeier, P. Cimiano, in: Proceedings of the 4th International
Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI), International
Association for Ontology and its Applications, Santiago de Compostela, Spain,
2024.'
conference:
end_date: 2024-10-19
location: Santiago de Compostela, Spain
name: 4th International Workshop on Data Meets Applied Ontologies in Explainable
AI (DAO-XAI)
start_date: 2024-10-19
date_created: 2024-08-30T07:57:06Z
date_updated: 2025-09-11T10:16:42Z
ddc:
- '006'
department:
- _id: '660'
extern: '1'
file:
- access_level: closed
content_type: application/pdf
creator: hbuschme
date_created: 2024-11-18T16:01:17Z
date_updated: 2024-11-18T16:01:17Z
file_id: '57206'
file_name: Booshehri-etal-2024.pdf
file_size: 436217
relation: main_file
success: 1
file_date_updated: 2024-11-18T16:01:17Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ceur-ws.org/Vol-3833/paper3.pdf
oa: '1'
place: Santiago de Compostela, Spain
project:
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
- _id: '112'
name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
auswerten (Teilprojekt A02)'
publication: Proceedings of the 4th International Workshop on Data Meets Applied Ontologies
in Explainable AI (DAO-XAI)
publication_identifier:
issn:
- 1613-0073
publication_status: published
publisher: International Association for Ontology and its Applications
quality_controlled: '1'
status: public
title: Towards a BFO-based ontology of understanding in explanatory interactions
type: conference
user_id: '76456'
year: '2024'
...
---
_id: '55916'
abstract:
- lang: eng
text: To produce explanations that are more likely to be accepted by humans, Explainable
Artificial Intelligence (XAI) systems need to incorporate explanation models grounded
in human communication patterns. So far, little is known about how an explainee,
who lacks understanding of an issue, and an explainer, who has knowledge to fill
the explainee's knowledge gap, actively shape an explanation process, and how
their involvement relates to explanatory success in terms of maximizing the explainee's
level of understanding. In this paper, we characterize explanations as dialogues
in which explainee and explainer take turns to advance the explanation process.
We build on an existing annotation scheme of ‘explanatory moves’ to characterize
such turns, and manually annotate 362 dialogical explanations from the “Explain
Like I'm Five” subreddit. Building on the annotated data, we compute correlations
between explanatory moves and explanatory success, measured on a five-point Likert
scale, in order to identify factors that are significantly correlated with explanatory
success. Based on a qualitative analysis of these factors, we develop a conceptual
model of the main factors that contribute to the success of explanatory dialogues.
author:
- first_name: Meisam
full_name: Booshehri, Meisam
last_name: Booshehri
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
citation:
ama: 'Booshehri M, Buschmeier H, Cimiano P. A model of factors contributing to the
success of dialogical explanations. In: Proceedings of the 26th ACM International
Conference on Multimodal Interaction. ACM; 2024:373-381. doi:10.1145/3678957.3685744'
apa: Booshehri, M., Buschmeier, H., & Cimiano, P. (2024). A model of factors
contributing to the success of dialogical explanations. Proceedings of the
26th ACM International Conference on Multimodal Interaction, 373–381. https://doi.org/10.1145/3678957.3685744
bibtex: '@inproceedings{Booshehri_Buschmeier_Cimiano_2024, place={San José, Costa
Rica}, title={A model of factors contributing to the success of dialogical explanations},
DOI={10.1145/3678957.3685744},
booktitle={Proceedings of the 26th ACM International Conference on Multimodal
Interaction}, publisher={ACM}, author={Booshehri, Meisam and Buschmeier, Hendrik
and Cimiano, Philipp}, year={2024}, pages={373–381} }'
chicago: 'Booshehri, Meisam, Hendrik Buschmeier, and Philipp Cimiano. “A Model of
Factors Contributing to the Success of Dialogical Explanations.” In Proceedings
of the 26th ACM International Conference on Multimodal Interaction, 373–81.
San José, Costa Rica: ACM, 2024. https://doi.org/10.1145/3678957.3685744.'
ieee: 'M. Booshehri, H. Buschmeier, and P. Cimiano, “A model of factors contributing
to the success of dialogical explanations,” in Proceedings of the 26th ACM
International Conference on Multimodal Interaction, San José, Costa Rica,
2024, pp. 373–381, doi: 10.1145/3678957.3685744.'
mla: Booshehri, Meisam, et al. “A Model of Factors Contributing to the Success of
Dialogical Explanations.” Proceedings of the 26th ACM International Conference
on Multimodal Interaction, ACM, 2024, pp. 373–81, doi:10.1145/3678957.3685744.
short: 'M. Booshehri, H. Buschmeier, P. Cimiano, in: Proceedings of the 26th ACM
International Conference on Multimodal Interaction, ACM, San José, Costa Rica,
2024, pp. 373–381.'
conference:
end_date: 2024-11-08
location: San José, Costa Rica
name: 26th ACM International Conference on Multimodal Interaction
start_date: 2024-11-04
date_created: 2024-08-30T07:55:36Z
date_updated: 2025-09-11T10:16:55Z
department:
- _id: '660'
doi: 10.1145/3678957.3685744
extern: '1'
language:
- iso: eng
page: 373-381
place: San José, Costa Rica
project:
- _id: '112'
name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
auswerten (Teilprojekt A02)'
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 26th ACM International Conference on Multimodal Interaction
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: A model of factors contributing to the success of dialogical explanations
type: conference
user_id: '76456'
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: '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: '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: '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'
...