A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings

Weihua Hu, Jun’ichi Tsujii


Anthology ID:
P16-2062
Volume:
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
August
Year:
2016
Address:
Berlin, Germany
Editors:
Katrin Erk, Noah A. Smith
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
380–386
Language:
URL:
https://aclanthology.org/P16-2062
DOI:
10.18653/v1/P16-2062
Bibkey:
Cite (ACL):
Weihua Hu and Jun’ichi Tsujii. 2016. A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 380–386, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):
A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings (Hu & Tsujii, ACL 2016)
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PDF:
https://aclanthology.org/P16-2062.pdf