Assessing Open-Weight Large Language Models on Argumentation Mining Subtasks

Mohammad Yeghaneh Abkenar, Weixing Wang, Hendrik Graupner, Manfred Stede


Anthology ID:
2025.swisstext-1.2
Volume:
Proceedings of the 10th edition of the Swiss Text Analytics Conference
Month:
May
Year:
2025
Address:
Winterthur, Switzerland
Editors:
Jonathan Gerber, Mark Cieliebak, Don Tuggener, Manuela Hürlimann
Venue:
SwissText
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
11–24
Language:
URL:
https://aclanthology.org/2025.swisstext-1.2/
DOI:
Bibkey:
Cite (ACL):
Mohammad Yeghaneh Abkenar, Weixing Wang, Hendrik Graupner, and Manfred Stede. 2025. Assessing Open-Weight Large Language Models on Argumentation Mining Subtasks. In Proceedings of the 10th edition of the Swiss Text Analytics Conference, pages 11–24, Winterthur, Switzerland. Association for Computational Linguistics.
Cite (Informal):
Assessing Open-Weight Large Language Models on Argumentation Mining Subtasks (Abkenar et al., SwissText 2025)
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PDF:
https://aclanthology.org/2025.swisstext-1.2.pdf