Abstract
This short paper presents a first implementation of a knowledge-driven argument mining approach. The major processing steps and language resources of the system are surveyed. An indicative evaluation outlines challenges and improvement directions.- Anthology ID:
- W17-5111
- 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:
- 85–90
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/W17-5111/
- DOI:
- 10.18653/v1/W17-5111
- Cite (ACL):
- Patrick Saint-Dizier. 2017. Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach. In Proceedings of the 4th Workshop on Argument Mining, pages 85–90, Copenhagen, Denmark. Association for Computational Linguistics.
- Cite (Informal):
- Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach (Saint-Dizier, ArgMining 2017)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/W17-5111.pdf