- Anthology ID:
- E14-1056
- Volume:
- Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
- Month:
- April
- Year:
- 2014
- Address:
- Gothenburg, Sweden
- Editors:
- Shuly Wintner, Sharon Goldwater, Stefan Riezler
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 530–539
- Language:
- URL:
- https://aclanthology.org/E14-1056
- DOI:
- 10.3115/v1/E14-1056
- Cite (ACL):
- Jey Han Lau, David Newman, and Timothy Baldwin. 2014. Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 530–539, Gothenburg, Sweden. Association for Computational Linguistics.
- Cite (Informal):
- Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality (Lau et al., EACL 2014)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/E14-1056.pdf
- Code
- jhlau/topic_interpretability