Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces

Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces Ramon F. Astudillo author Silvio Amir author Wang Ling author Mário Silva author Isabel Trancoso author 2015-07 text 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) Chengqing Zong editor Michael Strube editor Association for Computational Linguistics Beijing, China conference publication f-astudillo-etal-2015-learning 10.3115/v1/P15-1104 https://aclanthology.org/P15-1104/ 2015-07 1074 1084