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            <namePart type="given">Jason</namePart>
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%0 Conference Proceedings
%T Bayesian Document Generative Model with Explicit Multiple Topics
%A Sato, Issei
%A Nakagawa, Hiroshi
%Y Eisner, Jason
%S Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
%D 2007
%8 June
%I Association for Computational Linguistics
%C Prague, Czech Republic
%F sato-nakagawa-2007-bayesian
%U https://aclanthology.org/D07-1044
%P 421-429

Markdown (Informal)

[Bayesian Document Generative Model with Explicit Multiple Topics](https://aclanthology.org/D07-1044) (Sato & Nakagawa, EMNLP-CoNLL 2007)

• Bayesian Document Generative Model with Explicit Multiple Topics (Sato & Nakagawa, EMNLP-CoNLL 2007)

ACL

• Issei Sato and Hiroshi Nakagawa. 2007. Bayesian Document Generative Model with Explicit Multiple Topics. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 421–429, Prague, Czech Republic. Association for Computational Linguistics.