Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms

Thang Nguyen, Yuening Hu, Jordan Boyd-Graber


Anthology ID:
P14-1034
Volume:
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
June
Year:
2014
Address:
Baltimore, Maryland
Editors:
Kristina Toutanova, Hua Wu
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
359–369
Language:
URL:
https://aclanthology.org/P14-1034
DOI:
10.3115/v1/P14-1034
Bibkey:
Cite (ACL):
Thang Nguyen, Yuening Hu, and Jordan Boyd-Graber. 2014. Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 359–369, Baltimore, Maryland. Association for Computational Linguistics.
Cite (Informal):
Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms (Nguyen et al., ACL 2014)
Copy Citation:
PDF:
https://aclanthology.org/P14-1034.pdf
Video:
 https://aclanthology.org/P14-1034.mp4
Data
New York Times Annotated Corpus