@inproceedings{li-yamanishi-2000-topic,
title = "Topic Analysis Using a Finite Mixture Model",
author = "Li, Hang and
Yamanishi, Kenji",
booktitle = "2000 Joint {SIGDAT} Conference on Empirical Methods in Natural Language Processing and Very Large Corpora",
month = oct,
year = "2000",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/fix-sig-urls/W00-1305/",
doi = "10.3115/1117794.1117799",
pages = "35--44"
}
Markdown (Informal)
[Topic Analysis Using a Finite Mixture Model](https://preview.aclanthology.org/fix-sig-urls/W00-1305/) (Li & Yamanishi, VLC-EMNLP 2000)
ACL
- Hang Li and Kenji Yamanishi. 2000. Topic Analysis Using a Finite Mixture Model. In 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, pages 35–44, Hong Kong, China. Association for Computational Linguistics.