Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models

Thang Nguyen, Jordan Boyd-Graber, Jeffrey Lund, Kevin Seppi, Eric Ringger


Anthology ID:
N15-1076
Volume:
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:
May–June
Year:
2015
Address:
Denver, Colorado
Editors:
Rada Mihalcea, Joyce Chai, Anoop Sarkar
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
746–755
Language:
URL:
https://aclanthology.org/N15-1076
DOI:
10.3115/v1/N15-1076
Bibkey:
Cite (ACL):
Thang Nguyen, Jordan Boyd-Graber, Jeffrey Lund, Kevin Seppi, and Eric Ringger. 2015. Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 746–755, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):
Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models (Nguyen et al., NAACL 2015)
Copy Citation:
PDF:
https://aclanthology.org/N15-1076.pdf