A Computationally Efficient Algorithm for Learning Topical Collocation Models
Zhendong Zhao, Lan Du, Benjamin Börschinger, John K Pate, Massimiliano Ciaramita, Mark Steedman, Mark Johnson
- Anthology ID:
- P15-1141
- Volume:
- Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Month:
- July
- Year:
- 2015
- Address:
- Beijing, China
- Venues:
- ACL | IJCNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1460–1469
- Language:
- URL:
- https://aclanthology.org/P15-1141
- DOI:
- 10.3115/v1/P15-1141
- Cite (ACL):
- Zhendong Zhao, Lan Du, Benjamin Börschinger, John K Pate, Massimiliano Ciaramita, Mark Steedman, and Mark Johnson. 2015. A Computationally Efficient Algorithm for Learning Topical Collocation Models. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 1460–1469, Beijing, China. Association for Computational Linguistics.
- Cite (Informal):
- A Computationally Efficient Algorithm for Learning Topical Collocation Models (Zhao et al., ACL-IJCNLP 2015)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/P15-1141.pdf