- Anthology ID:
- D14-1182
- Volume:
- Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Month:
- October
- Year:
- 2014
- Address:
- Doha, Qatar
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1752–1757
- Language:
- URL:
- https://aclanthology.org/D14-1182
- DOI:
- 10.3115/v1/D14-1182
- Cite (ACL):
- Viet-An Nguyen, Jordan Boyd-Graber, and Philip Resnik. 2014. Sometimes Average is Best: The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1752–1757, Doha, Qatar. Association for Computational Linguistics.
- Cite (Informal):
- Sometimes Average is Best: The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling (Nguyen et al., EMNLP 2014)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/D14-1182.pdf