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Argument Novelty and Validity Assessment via Multitask and Transfer Learning

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

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OriginalspracheEnglisch
Titel des SammelwerksProceedings of the 9th Workshop on Argument Mining
Seiten111-114
Seitenumfang4
Band29
Auflage14
PublikationsstatusVeröffentlicht - 2022
Veranstaltung9th Workshop on Argument Mining - Gyeongju, Südkorea
Dauer: 17 Okt. 2022 → 17 Okt. 2022

Publikationsreihe

NameProceedings - International Conference on Computational Linguistics, COLING
ISSN (Print)2951-2093

Abstract

An argument is a constellation of premises reasoning towards a certain conclusion. The automatic generation of conclusions is becoming a very prominent task, raising the need for automatic measures to assess the quality of these generated conclusions. The SharedTask at the 9th Workshop on Argument Mining proposes a new task to assess the novelty and validity of a conclusion given a set of premises. In this paper, we present a multitask learning approach that transfers the knowledge learned from the natural language inference task to the tasks at hand. Evaluation results indicate the importance of both knowledge transfer and joint learning, placing our approach in the fifth place with strong results compared to baselines.

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Argument Novelty and Validity Assessment via Multitask and Transfer Learning. / Alshomary, Milad; Stahl, Maja.
Proceedings of the 9th Workshop on Argument Mining. Band 29 14. Aufl. 2022. S. 111-114 (Proceedings - International Conference on Computational Linguistics, COLING).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Alshomary, M & Stahl, M 2022, Argument Novelty and Validity Assessment via Multitask and Transfer Learning. in Proceedings of the 9th Workshop on Argument Mining. 14 Aufl., Bd. 29, Proceedings - International Conference on Computational Linguistics, COLING, S. 111-114, 9th Workshop on Argument Mining, Gyeongju, Südkorea, 17 Okt. 2022. <https://aclanthology.org/2022.argmining-1.10.pdf>
Alshomary, M., & Stahl, M. (2022). Argument Novelty and Validity Assessment via Multitask and Transfer Learning. In Proceedings of the 9th Workshop on Argument Mining (14 Aufl., Band 29, S. 111-114). (Proceedings - International Conference on Computational Linguistics, COLING). https://aclanthology.org/2022.argmining-1.10.pdf
Alshomary M, Stahl M. Argument Novelty and Validity Assessment via Multitask and Transfer Learning. in Proceedings of the 9th Workshop on Argument Mining. 14 Aufl. Band 29. 2022. S. 111-114. (Proceedings - International Conference on Computational Linguistics, COLING).
Alshomary, Milad ; Stahl, Maja. / Argument Novelty and Validity Assessment via Multitask and Transfer Learning. Proceedings of the 9th Workshop on Argument Mining. Band 29 14. Aufl. 2022. S. 111-114 (Proceedings - International Conference on Computational Linguistics, COLING).
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