---
_id: '46289'
author:
- first_name: Ngoc Chi
full_name: Banh, Ngoc Chi
id: '38219'
last_name: Banh
orcid: 0000-0002-5946-4542
- first_name: Ingrid
full_name: Scharlau, Ingrid
id: '451'
last_name: Scharlau
orcid: 0000-0003-2364-9489
- first_name: Katharina J.
full_name: Rohlfing, Katharina J.
id: '50352'
last_name: Rohlfing
citation:
ama: 'Banh NC, Scharlau I, Rohlfing KJ. Folgen wiederholter Negation auf die Aufmerksamkeit.
In: Bermeitinger C, Greve W, eds. 52. Kongress Der Deutschen Gesellschaft Für
Psychologie. Pabst Science Publishers. ; 2022.'
apa: Banh, N. C., Scharlau, I., & Rohlfing, K. J. (2022). Folgen wiederholter
Negation auf die Aufmerksamkeit. In C. Bermeitinger & W. Greve (Eds.), 52.
Kongress der Deutschen Gesellschaft für Psychologie.
bibtex: '@inproceedings{Banh_Scharlau_Rohlfing_2022, series={Pabst Science Publishers},
title={Folgen wiederholter Negation auf die Aufmerksamkeit}, booktitle={52. Kongress
der Deutschen Gesellschaft für Psychologie}, author={Banh, Ngoc Chi and Scharlau,
Ingrid and Rohlfing, Katharina J.}, editor={Bermeitinger, Christina and Greve,
Werner }, year={2022}, collection={Pabst Science Publishers} }'
chicago: Banh, Ngoc Chi, Ingrid Scharlau, and Katharina J. Rohlfing. “Folgen Wiederholter
Negation Auf Die Aufmerksamkeit.” In 52. Kongress Der Deutschen Gesellschaft
Für Psychologie, edited by Christina Bermeitinger and Werner Greve. Pabst
Science Publishers, 2022.
ieee: N. C. Banh, I. Scharlau, and K. J. Rohlfing, “Folgen wiederholter Negation
auf die Aufmerksamkeit,” in 52. Kongress der Deutschen Gesellschaft für Psychologie,
Hildesheim, Germany, 2022.
mla: Banh, Ngoc Chi, et al. “Folgen Wiederholter Negation Auf Die Aufmerksamkeit.”
52. Kongress Der Deutschen Gesellschaft Für Psychologie, edited by Christina Bermeitinger
and Werner Greve, 2022.
short: 'N.C. Banh, I. Scharlau, K.J. Rohlfing, in: C. Bermeitinger, W. Greve (Eds.),
52. Kongress Der Deutschen Gesellschaft Für Psychologie, 2022.'
conference:
end_date: 2022-10-15
location: Hildesheim, Germany
name: 52nd Congress of the German Psychological Society
start_date: 2022-09-10
date_created: 2023-08-03T14:00:36Z
date_updated: 2023-08-03T14:10:48Z
department:
- _id: '424'
- _id: '660'
editor:
- first_name: 'Christina '
full_name: 'Bermeitinger, Christina '
last_name: Bermeitinger
- first_name: 'Werner '
full_name: 'Greve, Werner '
last_name: Greve
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.uni-hildesheim.de/dgps2022/wp-content/uploads/2022/09/DGPsKongress2022_Abstractband_20220926.pdf
oa: '1'
project:
- _id: '115'
grant_number: '438445824'
name: 'TRR 318 - A05: TRR 318 - Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog
(Teilprojekt A05)'
publication: 52. Kongress der Deutschen Gesellschaft für Psychologie
quality_controlled: '1'
series_title: Pabst Science Publishers
status: public
title: Folgen wiederholter Negation auf die Aufmerksamkeit
type: conference_abstract
user_id: '38219'
year: '2022'
...
---
_id: '51343'
abstract:
- lang: eng
text: This paper presents preliminary work on the formalization of three prominent
cognitive biases in the diagnostic reasoning process over epileptic seizures,
psychogenic seizures and syncopes. Diagnostic reasoning is understood as iterative
exploration of medical evidence. This exploration is represented as a partially
observable Markov decision process where the state (i.e., the correct diagnosis)
is uncertain. Observation likelihoods and belief updates are computed using a
Bayesian network which defines the interrelation between medical risk factors,
diagnoses and potential findings. The decision problem is solved via partially
observable upper confidence bounds for trees in Monte-Carlo planning. We compute
a biased diagnostic exploration policy by altering the generated state transition,
observation and reward during look ahead simulations. The resulting diagnostic
policies reproduce reasoning errors which have only been described informally
in the medical literature. We plan to use this formal representation in the future
to inversely detect and classify biased reasoning in actual diagnostic trajectories
obtained from physicians.
author:
- first_name: Dominik
full_name: Battefeld, Dominik
id: '91864'
last_name: Battefeld
orcid: 0000-0002-5480-0594
- first_name: Stefan
full_name: Kopp, Stefan
last_name: Kopp
citation:
ama: 'Battefeld D, Kopp S. Formalizing cognitive biases in medical diagnostic reasoning.
In: Proceedings of the 8th Workshop on Formal and Cognitive Reasoning.
; 2022.'
apa: Battefeld, D., & Kopp, S. (2022). Formalizing cognitive biases in medical
diagnostic reasoning. Proceedings of the 8th Workshop on Formal and Cognitive
Reasoning. 8th Workshop on Formal and Cognitive Reasoning (FCR), Trier.
bibtex: '@inproceedings{Battefeld_Kopp_2022, title={Formalizing cognitive biases
in medical diagnostic reasoning}, booktitle={Proceedings of the 8th Workshop on
Formal and Cognitive Reasoning}, author={Battefeld, Dominik and Kopp, Stefan},
year={2022} }'
chicago: Battefeld, Dominik, and Stefan Kopp. “Formalizing Cognitive Biases in Medical
Diagnostic Reasoning.” In Proceedings of the 8th Workshop on Formal and Cognitive
Reasoning, 2022.
ieee: D. Battefeld and S. Kopp, “Formalizing cognitive biases in medical diagnostic
reasoning,” presented at the 8th Workshop on Formal and Cognitive Reasoning (FCR),
Trier, 2022.
mla: Battefeld, Dominik, and Stefan Kopp. “Formalizing Cognitive Biases in Medical
Diagnostic Reasoning.” Proceedings of the 8th Workshop on Formal and Cognitive
Reasoning, 2022.
short: 'D. Battefeld, S. Kopp, in: Proceedings of the 8th Workshop on Formal and
Cognitive Reasoning, 2022.'
conference:
end_date: 2022-09-23
location: Trier
name: 8th Workshop on Formal and Cognitive Reasoning (FCR)
start_date: '2022-09-19 '
date_created: 2024-02-14T09:06:04Z
date_updated: 2024-10-31T10:00:01Z
ddc:
- '000'
department:
- _id: '660'
file:
- access_level: closed
content_type: application/pdf
creator: doba2
date_created: 2024-10-31T09:59:46Z
date_updated: 2024-10-31T09:59:46Z
file_id: '56846'
file_name: paper8.pdf
file_size: 261528
relation: main_file
success: 1
file_date_updated: 2024-10-31T09:59:46Z
has_accepted_license: '1'
keyword:
- Diagnostic reasoning
- Cognitive bias
- Cognitive model
- POMDP
- Bayesian network
- Epilepsy
- CDSS
language:
- iso: eng
project:
- _id: '128'
name: 'TRR 318 - C5: TRR 318 - Subproject C5'
publication: Proceedings of the 8th Workshop on Formal and Cognitive Reasoning
quality_controlled: '1'
status: public
title: Formalizing cognitive biases in medical diagnostic reasoning
type: conference
user_id: '91864'
year: '2022'
...
---
_id: '48780'
abstract:
- lang: eng
text: Explainable Artificial Intelligence (XAI) has mainly focused on static learning
tasks so far. In this paper, we consider XAI in the context of online learning
in dynamic environments, such as learning from real-time data streams, where models
are learned incrementally and continuously adapted over the course of time. More
specifically, we motivate the problem of explaining model change, i.e. explaining
the difference between models before and after adaptation, instead of the models
themselves. In this regard, we provide the first efficient model-agnostic approach
to dynamically detecting, quantifying, and explaining significant model changes.
Our approach is based on an adaptation of the well-known Permutation Feature Importance
(PFI) measure. It includes two hyperparameters that control the sensitivity and
directly influence explanation frequency, so that a human user can adjust the
method to individual requirements and application needs. We assess and validate
our method’s efficacy on illustrative synthetic data streams with three popular
model classes.
author:
- 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: Huellermeier, Eyke
id: '48129'
last_name: Huellermeier
citation:
ama: Muschalik M, Fumagalli F, Hammer B, Huellermeier E. Agnostic Explanation of
Model Change based on Feature Importance. KI - Künstliche Intelligenz.
2022;36(3-4):211-224. doi:10.1007/s13218-022-00766-6
apa: Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2022). Agnostic
Explanation of Model Change based on Feature Importance. KI - Künstliche Intelligenz,
36(3–4), 211–224. https://doi.org/10.1007/s13218-022-00766-6
bibtex: '@article{Muschalik_Fumagalli_Hammer_Huellermeier_2022, title={Agnostic
Explanation of Model Change based on Feature Importance}, volume={36}, DOI={10.1007/s13218-022-00766-6},
number={3–4}, journal={KI - Künstliche Intelligenz}, publisher={Springer Science
and Business Media LLC}, author={Muschalik, Maximilian and Fumagalli, Fabian and
Hammer, Barbara and Huellermeier, Eyke}, year={2022}, pages={211–224} }'
chicago: 'Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier.
“Agnostic Explanation of Model Change Based on Feature Importance.” KI - Künstliche
Intelligenz 36, no. 3–4 (2022): 211–24. https://doi.org/10.1007/s13218-022-00766-6.'
ieee: 'M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Agnostic Explanation
of Model Change based on Feature Importance,” KI - Künstliche Intelligenz,
vol. 36, no. 3–4, pp. 211–224, 2022, doi: 10.1007/s13218-022-00766-6.'
mla: Muschalik, Maximilian, et al. “Agnostic Explanation of Model Change Based on
Feature Importance.” KI - Künstliche Intelligenz, vol. 36, no. 3–4, Springer
Science and Business Media LLC, 2022, pp. 211–24, doi:10.1007/s13218-022-00766-6.
short: M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, KI - Künstliche Intelligenz
36 (2022) 211–224.
date_created: 2023-11-10T14:21:06Z
date_updated: 2025-01-16T16:19:35Z
department:
- _id: '660'
doi: 10.1007/s13218-022-00766-6
intvolume: ' 36'
issue: 3-4
keyword:
- Artificial Intelligence
language:
- iso: eng
page: 211-224
project:
- _id: '126'
name: 'TRR 318 - C3: TRR 318 - Subproject C3'
- _id: '117'
name: 'TRR 318 - C: TRR 318 - Project Area C'
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: KI - Künstliche Intelligenz
publication_identifier:
issn:
- 0933-1875
- 1610-1987
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Agnostic Explanation of Model Change based on Feature Importance
type: journal_article
user_id: '93420'
volume: 36
year: '2022'
...
---
_id: '61303'
author:
- first_name: André
full_name: Artelt, André
last_name: Artelt
- first_name: Johannes
full_name: Brinkrolf, Johannes
last_name: Brinkrolf
- first_name: Roel
full_name: Visser, Roel
last_name: Visser
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: 'Artelt A, Brinkrolf J, Visser R, Hammer B. Explaining Reject Options of Learning
Vector Quantization Classifiers. In: Proceedings of the 14th International
Joint Conference on Computational Intelligence. SCITEPRESS - Science and Technology
Publications; 2022. doi:10.5220/0011389600003332'
apa: Artelt, A., Brinkrolf, J., Visser, R., & Hammer, B. (2022). Explaining
Reject Options of Learning Vector Quantization Classifiers. Proceedings of
the 14th International Joint Conference on Computational Intelligence. https://doi.org/10.5220/0011389600003332
bibtex: '@inproceedings{Artelt_Brinkrolf_Visser_Hammer_2022, title={Explaining Reject
Options of Learning Vector Quantization Classifiers}, DOI={10.5220/0011389600003332},
booktitle={Proceedings of the 14th International Joint Conference on Computational
Intelligence}, publisher={SCITEPRESS - Science and Technology Publications}, author={Artelt,
André and Brinkrolf, Johannes and Visser, Roel and Hammer, Barbara}, year={2022}
}'
chicago: Artelt, André, Johannes Brinkrolf, Roel Visser, and Barbara Hammer. “Explaining
Reject Options of Learning Vector Quantization Classifiers.” In Proceedings
of the 14th International Joint Conference on Computational Intelligence.
SCITEPRESS - Science and Technology Publications, 2022. https://doi.org/10.5220/0011389600003332.
ieee: 'A. Artelt, J. Brinkrolf, R. Visser, and B. Hammer, “Explaining Reject Options
of Learning Vector Quantization Classifiers,” 2022, doi: 10.5220/0011389600003332.'
mla: Artelt, André, et al. “Explaining Reject Options of Learning Vector Quantization
Classifiers.” Proceedings of the 14th International Joint Conference on Computational
Intelligence, SCITEPRESS - Science and Technology Publications, 2022, doi:10.5220/0011389600003332.
short: 'A. Artelt, J. Brinkrolf, R. Visser, B. Hammer, in: Proceedings of the 14th
International Joint Conference on Computational Intelligence, SCITEPRESS - Science
and Technology Publications, 2022.'
date_created: 2025-09-16T09:50:55Z
date_updated: 2025-09-16T09:58:01Z
department:
- _id: '660'
doi: 10.5220/0011389600003332
language:
- iso: eng
project:
- _id: '124'
name: 'TRR 318 ; TP C01: Gesundes Misstrauen in Erklärungen'
publication: Proceedings of the 14th International Joint Conference on Computational
Intelligence
publication_status: published
publisher: SCITEPRESS - Science and Technology Publications
status: public
title: Explaining Reject Options of Learning Vector Quantization Classifiers
type: conference
user_id: '93919'
year: '2022'
...
---
_id: '61302'
author:
- first_name: André
full_name: Artelt, André
last_name: Artelt
- first_name: Roel
full_name: Visser, Roel
last_name: Visser
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: 'Artelt A, Visser R, Hammer B. Model Agnostic Local Explanations of Reject.
In: ESANN 2022 Proceedings. Ciaco - i6doc.com; 2022. doi:10.14428/esann/2022.es2022-34'
apa: Artelt, A., Visser, R., & Hammer, B. (2022). Model Agnostic Local Explanations
of Reject. ESANN 2022 Proceedings. https://doi.org/10.14428/esann/2022.es2022-34
bibtex: '@inproceedings{Artelt_Visser_Hammer_2022, title={Model Agnostic Local Explanations
of Reject}, DOI={10.14428/esann/2022.es2022-34},
booktitle={ESANN 2022 proceedings}, publisher={Ciaco - i6doc.com}, author={Artelt,
André and Visser, Roel and Hammer, Barbara}, year={2022} }'
chicago: Artelt, André, Roel Visser, and Barbara Hammer. “Model Agnostic Local Explanations
of Reject.” In ESANN 2022 Proceedings. Ciaco - i6doc.com, 2022. https://doi.org/10.14428/esann/2022.es2022-34.
ieee: 'A. Artelt, R. Visser, and B. Hammer, “Model Agnostic Local Explanations of
Reject,” 2022, doi: 10.14428/esann/2022.es2022-34.'
mla: Artelt, André, et al. “Model Agnostic Local Explanations of Reject.” ESANN
2022 Proceedings, Ciaco - i6doc.com, 2022, doi:10.14428/esann/2022.es2022-34.
short: 'A. Artelt, R. Visser, B. Hammer, in: ESANN 2022 Proceedings, Ciaco - i6doc.com,
2022.'
date_created: 2025-09-16T09:49:22Z
date_updated: 2025-09-16T09:58:29Z
department:
- _id: '660'
doi: 10.14428/esann/2022.es2022-34
language:
- iso: eng
project:
- _id: '124'
name: 'TRR 318 ; TP C01: Gesundes Misstrauen in Erklärungen'
publication: ESANN 2022 proceedings
publication_status: published
publisher: Ciaco - i6doc.com
status: public
title: Model Agnostic Local Explanations of Reject
type: conference
user_id: '93919'
year: '2022'
...
---
_id: '51349'
abstract:
- lang: eng
text: 'AbstractRecent approaches to Explainable
AI (XAI) promise to satisfy diverse user expectations by allowing them to steer
the interaction in order to elicit content relevant to them. However, little is
known about how and to what extent the explainee takes part actively in the process
of explaining. To tackle this empirical gap, we exploratively examined naturally
occurring everyday explanations in doctor–patient interactions (N = 11).
Following the social design of XAI, we view explanations as emerging in interactions:
first, we identified the verbal behavior of both the explainer and the explainee
in the sequential context, which we could assign to phases that were either monological
or dialogical; second, we investigated in particular who was responsible for the
initiation of the different phases. Finally, we took a closer look at the global
conversational structure of explanations by applying a context-sensitive model
of organizational jobs, thus adding a third layer of analysis. Results show that
in our small sample of conversational explanations, both monological and dialogical
phases varied in their length, timing of occurrence (at the early or later stages
of the interaction) and their initiation (by the explainer or the explainee).
They alternated several times in the course of the interaction. However, we also
found some patterns suggesting that all interactions started with a monological
phase initiated by the explainer. Both conversational partners contributed to
the core organizational job that constitutes an explanation. We interpret the
results as an indication for naturally occurring everyday explanations in doctor–patient
interactions to be co-constructed on three levels of linguistic description: (1)
by switching back and forth between monological to dialogical phases that (2) can
be initiated by both partners and (3) by the mutual accomplishment and thus responsibility
for an explanation’s core job that is crucial for the success of the explanation.
Because of the explorative nature of our study, these results need to be investigated
(a) with a larger sample and (b) in other contexts. However, our results suggest
that future designs of artificial explainable systems should design the explanatory
dialogue in such a way that it includes monological and dialogical phases that
can be initiated not only by the explainer but also by the explainee, as both
contribute to the core job of explicating procedural, clausal, or conceptual relations
in explanations.'
author:
- first_name: Josephine Beryl
full_name: Fisher, Josephine Beryl
id: '56345'
last_name: Fisher
orcid: 0000-0002-9997-9241
- first_name: Vivien
full_name: Lohmer, Vivien
last_name: Lohmer
- first_name: Friederike
full_name: Kern, Friederike
last_name: Kern
- first_name: Winfried
full_name: Barthlen, Winfried
last_name: Barthlen
- first_name: Sebastian
full_name: Gaus, Sebastian
last_name: Gaus
- first_name: Katharina
full_name: Rohlfing, Katharina
id: '50352'
last_name: Rohlfing
orcid: 0000-0002-5676-8233
citation:
ama: Fisher JB, Lohmer V, Kern F, Barthlen W, Gaus S, Rohlfing K. Exploring monological
and dialogical phases in naturally occurring explanations. KI - Künstliche
Intelligenz. 2022;36(3-4):317-326. doi:10.1007/s13218-022-00787-1
apa: Fisher, J. B., Lohmer, V., Kern, F., Barthlen, W., Gaus, S., & Rohlfing,
K. (2022). Exploring monological and dialogical phases in naturally occurring
explanations. KI - Künstliche Intelligenz, 36(3–4), 317–326. https://doi.org/10.1007/s13218-022-00787-1
bibtex: '@article{Fisher_Lohmer_Kern_Barthlen_Gaus_Rohlfing_2022, title={Exploring
monological and dialogical phases in naturally occurring explanations}, volume={36},
DOI={10.1007/s13218-022-00787-1},
number={3–4}, journal={KI - Künstliche Intelligenz}, publisher={Springer Science
and Business Media LLC}, author={Fisher, Josephine Beryl and Lohmer, Vivien and
Kern, Friederike and Barthlen, Winfried and Gaus, Sebastian and Rohlfing, Katharina},
year={2022}, pages={317–326} }'
chicago: 'Fisher, Josephine Beryl, Vivien Lohmer, Friederike Kern, Winfried Barthlen,
Sebastian Gaus, and Katharina Rohlfing. “Exploring Monological and Dialogical
Phases in Naturally Occurring Explanations.” KI - Künstliche Intelligenz
36, no. 3–4 (2022): 317–26. https://doi.org/10.1007/s13218-022-00787-1.'
ieee: 'J. B. Fisher, V. Lohmer, F. Kern, W. Barthlen, S. Gaus, and K. Rohlfing,
“Exploring monological and dialogical phases in naturally occurring explanations,”
KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 317–326, 2022, doi:
10.1007/s13218-022-00787-1.'
mla: Fisher, Josephine Beryl, et al. “Exploring Monological and Dialogical Phases
in Naturally Occurring Explanations.” KI - Künstliche Intelligenz, vol.
36, no. 3–4, Springer Science and Business Media LLC, 2022, pp. 317–26, doi:10.1007/s13218-022-00787-1.
short: J.B. Fisher, V. Lohmer, F. Kern, W. Barthlen, S. Gaus, K. Rohlfing, KI -
Künstliche Intelligenz 36 (2022) 317–326.
date_created: 2024-02-14T09:44:23Z
date_updated: 2025-09-17T11:11:12Z
department:
- _id: '660'
doi: 10.1007/s13218-022-00787-1
intvolume: ' 36'
issue: 3-4
keyword:
- Artificial Intelligence
language:
- iso: eng
page: 317-326
project:
- _id: '111'
name: 'TRR 318 - A01: TRR 318 - Adaptives Erklären (Teilprojekt A01)'
- _id: '115'
name: 'TRR 318 - A05: TRR 318 - Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog
(Teilprojekt A05)'
- _id: '114'
name: 'TRR 318 - A04: TRR 318 - Integration des technischen Modells in das Partnermodell
bei der Erklärung von digitalen Artefakten (Teilprojekt A04)'
publication: KI - Künstliche Intelligenz
publication_identifier:
issn:
- 0933-1875
- 1610-1987
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Exploring monological and dialogical phases in naturally occurring explanations
type: journal_article
user_id: '57578'
volume: 36
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'
...