Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features
Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Motoki Sano, István Varga, Jong-Hoon Oh, Yutaka Kidawara
- Anthology ID:
- P14-1093
- Volume:
- Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Month:
- June
- Year:
- 2014
- Address:
- Baltimore, Maryland
- Editors:
- Kristina Toutanova, Hua Wu
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 987–997
- Language:
- URL:
- https://aclanthology.org/P14-1093
- DOI:
- 10.3115/v1/P14-1093
- Cite (ACL):
- Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Motoki Sano, István Varga, Jong-Hoon Oh, and Yutaka Kidawara. 2014. Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 987–997, Baltimore, Maryland. Association for Computational Linguistics.
- Cite (Informal):
- Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features (Hashimoto et al., ACL 2014)
- PDF:
- https://preview.aclanthology.org/naacl-24-ws-corrections/P14-1093.pdf