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
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
Bibkey:
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)
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PDF:
https://aclanthology.org/P14-1093.pdf
Note:
 P14-1093.Notes.pdf