Abstract
In this paper, we address the problem of argument relation classification where argument units are from different texts. We design a joint inference method for the task by modeling argument relation classification and stance classification jointly. We show that our joint model improves the results over several strong baselines.- Anthology ID:
- W17-5107
- Volume:
- Proceedings of the 4th Workshop on Argument Mining
- Month:
- September
- Year:
- 2017
- Address:
- Copenhagen, Denmark
- Editors:
- Ivan Habernal, Iryna Gurevych, Kevin Ashley, Claire Cardie, Nancy Green, Diane Litman, Georgios Petasis, Chris Reed, Noam Slonim, Vern Walker
- Venue:
- ArgMining
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 60–66
- Language:
- URL:
- https://aclanthology.org/W17-5107
- DOI:
- 10.18653/v1/W17-5107
- Cite (ACL):
- Yufang Hou and Charles Jochim. 2017. Argument Relation Classification Using a Joint Inference Model. In Proceedings of the 4th Workshop on Argument Mining, pages 60–66, Copenhagen, Denmark. Association for Computational Linguistics.
- Cite (Informal):
- Argument Relation Classification Using a Joint Inference Model (Hou & Jochim, ArgMining 2017)
- PDF:
- https://preview.aclanthology.org/bionlp-24-ingestion/W17-5107.pdf