Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces
Ramon F. Astudillo, Silvio Amir, Wang Ling, Mário Silva, Isabel Trancoso
- Anthology ID:
- P15-1104
- 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
- Editors:
- Chengqing Zong, Michael Strube
- Venues:
- ACL | IJCNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1074–1084
- Language:
- URL:
- https://preview.aclanthology.org/icon-24-ingestion/P15-1104/
- DOI:
- 10.3115/v1/P15-1104
- Cite (ACL):
- Ramon F. Astudillo, Silvio Amir, Wang Ling, Mário Silva, and Isabel Trancoso. 2015. Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces. 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 1074–1084, Beijing, China. Association for Computational Linguistics.
- Cite (Informal):
- Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces (F. Astudillo et al., ACL-IJCNLP 2015)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/P15-1104.pdf