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://preview.aclanthology.org/old-master/2025.swisstext-1.2/
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/old-master/2025.swisstext-1.2.pdf