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%0 Conference Proceedings
%T Gaussian LDA for Topic Models with Word Embeddings
%A Das, Rajarshi
%A Zaheer, Manzil
%A Dyer, Chris
%Y Zong, Chengqing
%Y Strube, Michael
%S Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
%D 2015
%8 July
%I Association for Computational Linguistics
%C Beijing, China
%F das-etal-2015-gaussian
%R 10.3115/v1/P15-1077
%U https://aclanthology.org/P15-1077
%U https://doi.org/10.3115/v1/P15-1077
%P 795-804

Markdown (Informal)

[Gaussian LDA for Topic Models with Word Embeddings](https://aclanthology.org/P15-1077) (Das et al., ACL-IJCNLP 2015)

• Gaussian LDA for Topic Models with Word Embeddings (Das et al., ACL-IJCNLP 2015)

ACL

• Rajarshi Das, Manzil Zaheer, and Chris Dyer. 2015. Gaussian LDA for Topic Models with Word Embeddings. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 795–804, Beijing, China. Association for Computational Linguistics.