Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections
Jingwei Zhang, Aaron Gerow, Jaan Altosaar, James Evans, Richard Jean So
- Anthology ID:
- D15-1179
- Volume:
- Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
- Month:
- September
- Year:
- 2015
- Address:
- Lisbon, Portugal
- Editors:
- Lluís Màrquez, Chris Callison-Burch, Jian Su
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1554–1564
- Language:
- URL:
- https://preview.aclanthology.org/landing_page/D15-1179/
- DOI:
- 10.18653/v1/D15-1179
- Cite (ACL):
- Jingwei Zhang, Aaron Gerow, Jaan Altosaar, James Evans, and Richard Jean So. 2015. Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1554–1564, Lisbon, Portugal. Association for Computational Linguistics.
- Cite (Informal):
- Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections (Zhang et al., EMNLP 2015)
- PDF:
- https://preview.aclanthology.org/landing_page/D15-1179.pdf