Efficient Methods for Incorporating Knowledge into Topic Models

Yi Yang, Doug Downey, Jordan Boyd-Graber


Anthology ID:
D15-1037
Volume:
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
Month:
September
Year:
2015
Address:
Lisbon, Portugal
Editors:
Lluís Màrquez, Chris Callison-Burch, Jian Su
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
308–317
Language:
URL:
https://aclanthology.org/D15-1037
DOI:
10.18653/v1/D15-1037
Bibkey:
Cite (ACL):
Yi Yang, Doug Downey, and Jordan Boyd-Graber. 2015. Efficient Methods for Incorporating Knowledge into Topic Models. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 308–317, Lisbon, Portugal. Association for Computational Linguistics.
Cite (Informal):
Efficient Methods for Incorporating Knowledge into Topic Models (Yang et al., EMNLP 2015)
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