An Effective Neural Network Model for Graph-based Dependency Parsing

Wenzhe Pei, Tao Ge, Baobao Chang


Anthology ID:
P15-1031
Volume:
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Month:
July
Year:
2015
Address:
Beijing, China
Editors:
Chengqing Zong, Michael Strube
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
313–322
Language:
URL:
https://aclanthology.org/P15-1031
DOI:
10.3115/v1/P15-1031
Bibkey:
Cite (ACL):
Wenzhe Pei, Tao Ge, and Baobao Chang. 2015. An Effective Neural Network Model for Graph-based Dependency Parsing. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 313–322, Beijing, China. Association for Computational Linguistics.
Cite (Informal):
An Effective Neural Network Model for Graph-based Dependency Parsing (Pei et al., ACL-IJCNLP 2015)
Copy Citation:
PDF:
https://aclanthology.org/P15-1031.pdf