Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser

Koji Mineshima, Ribeka Tanaka, Pascual Martínez-Gómez, Yusuke Miyao, Daisuke Bekki


Anthology ID:
D16-1242
Volume:
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2016
Address:
Austin, Texas
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
2236–2242
Language:
URL:
https://aclanthology.org/D16-1242
DOI:
10.18653/v1/D16-1242
Bibkey:
Cite (ACL):
Koji Mineshima, Ribeka Tanaka, Pascual Martínez-Gómez, Yusuke Miyao, and Daisuke Bekki. 2016. Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 2236–2242, Austin, Texas. Association for Computational Linguistics.
Cite (Informal):
Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser (Mineshima et al., EMNLP 2016)
Copy Citation:
PDF:
https://aclanthology.org/D16-1242.pdf
Video:
 https://vimeo.com/239251547
Code
 mynlp/ccg2lambda