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%0 Conference Proceedings
%T A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings
%A Hu, Weihua
%A Tsujii, Jun’ichi
%Y Erk, Katrin
%Y Smith, Noah A.
%S Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2016
%8 August
%I Association for Computational Linguistics
%C Berlin, Germany
%F hu-tsujii-2016-latent
%R 10.18653/v1/P16-2062
%U https://aclanthology.org/P16-2062
%U https://doi.org/10.18653/v1/P16-2062
%P 380-386

Markdown (Informal)

[A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings](https://aclanthology.org/P16-2062) (Hu & Tsujii, ACL 2016)

• A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings (Hu & Tsujii, ACL 2016)

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.