- Anthology ID:
- D07-1044
- Volume:
- Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
- Month:
- June
- Year:
- 2007
- Address:
- Prague, Czech Republic
- Editor:
- Jason Eisner
- Venues:
- EMNLP | CoNLL
- SIGs:
- SIGNLL | SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 421–429
- Language:
- URL:
- https://aclanthology.org/D07-1044
- DOI:
- Cite (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.
- Cite (Informal):
- Bayesian Document Generative Model with Explicit Multiple Topics (Sato & Nakagawa, EMNLP-CoNLL 2007)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/D07-1044.pdf