- Anthology ID:
- P14-1110
- Volume:
- Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Month:
- June
- Year:
- 2014
- Address:
- Baltimore, Maryland
- Editors:
- Kristina Toutanova, Hua Wu
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1166–1176
- Language:
- URL:
- https://preview.aclanthology.org/add_missing_videos/P14-1110/
- DOI:
- 10.3115/v1/P14-1110
- Cite (ACL):
- Yuening Hu, Ke Zhai, Vladimir Eidelman, and Jordan Boyd-Graber. 2014. Polylingual Tree-Based Topic Models for Translation Domain Adaptation. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1166–1176, Baltimore, Maryland. Association for Computational Linguistics.
- Cite (Informal):
- Polylingual Tree-Based Topic Models for Translation Domain Adaptation (Hu et al., ACL 2014)
- PDF:
- https://preview.aclanthology.org/add_missing_videos/P14-1110.pdf