Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces

Ramón Fernandez Astudillo, Silvio Amir, Wang Ling, Mário Silva, Isabel Trancoso. 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 of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, China, Volume 1: Long Papers. pages 1074-1084, The Association for Computer Linguistics, 2015. [doi]