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A Computationally Efficient Algorithm for Learning Topical Collocation Models

Zhendong Zhao, Lan Du, Benjamin Börschinger, John K Pate, Massimiliano Ciaramita, Mark Steedman, Mark Johnson


Anthology ID:
P15-1141
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:
1460–1469
Language:
URL:
https://aclanthology.org/P15-1141
DOI:
10.3115/v1/P15-1141
Bibkey:
Cite (ACL):
Zhendong Zhao, Lan Du, Benjamin Börschinger, John K Pate, Massimiliano Ciaramita, Mark Steedman, and Mark Johnson. 2015. A Computationally Efficient Algorithm for Learning Topical Collocation Models. 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 1460–1469, Beijing, China. Association for Computational Linguistics.
Cite (Informal):
A Computationally Efficient Algorithm for Learning Topical Collocation Models (Zhao et al., ACL-IJCNLP 2015)
Copy Citation:
PDF:
https://aclanthology.org/P15-1141.pdf