Training with Exploration Improves a Greedy Stack LSTM Parser

Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith


Anthology ID:
D16-1211
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:
2005–2010
Language:
URL:
https://aclanthology.org/D16-1211
DOI:
10.18653/v1/D16-1211
Bibkey:
Cite (ACL):
Miguel Ballesteros, Yoav Goldberg, Chris Dyer, and Noah A. Smith. 2016. Training with Exploration Improves a Greedy Stack LSTM Parser. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 2005–2010, Austin, Texas. Association for Computational Linguistics.
Cite (Informal):
Training with Exploration Improves a Greedy Stack LSTM Parser (Ballesteros et al., EMNLP 2016)
Copy Citation:
PDF:
https://aclanthology.org/D16-1211.pdf