Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network

Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh, Canasai Kruengkrai, Julien Kloetzer


Anthology ID:
D16-1132
Volume:
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2016
Address:
Austin, Texas
Editors:
Jian Su, Kevin Duh, Xavier Carreras
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1244–1254
Language:
URL:
https://aclanthology.org/D16-1132
DOI:
10.18653/v1/D16-1132
Bibkey:
Cite (ACL):
Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh, Canasai Kruengkrai, and Julien Kloetzer. 2016. Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1244–1254, Austin, Texas. Association for Computational Linguistics.
Cite (Informal):
Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network (Iida et al., EMNLP 2016)
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PDF:
https://aclanthology.org/D16-1132.pdf
Video:
 https://aclanthology.org/D16-1132.mp4