Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models
Thang Nguyen, Jordan Boyd-Graber, Jeffrey Lund, Kevin Seppi, Eric Ringger
- Anthology ID:
- N15-1076
- Volume:
- Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Month:
- May–June
- Year:
- 2015
- Address:
- Denver, Colorado
- Editors:
- Rada Mihalcea, Joyce Chai, Anoop Sarkar
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 746–755
- Language:
- URL:
- https://aclanthology.org/N15-1076
- DOI:
- 10.3115/v1/N15-1076
- Cite (ACL):
- Thang Nguyen, Jordan Boyd-Graber, Jeffrey Lund, Kevin Seppi, and Eric Ringger. 2015. Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 746–755, Denver, Colorado. Association for Computational Linguistics.
- Cite (Informal):
- Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models (Nguyen et al., NAACL 2015)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/N15-1076.pdf