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%0 Conference Proceedings
%T Even Unassociated Features Can Improve Lexical Distributional Similarity
%A Yamamoto, Kazuhide
%A Asakura, Takeshi
%Y Kurohashi, Sadao
%Y Utsuro, Takehito
%S Proceedings of the Second Workshop on NLP Challenges in the Information Explosion Era (NLPIX 2010)
%D 2010
%8 August
%I Coling 2010 Organizing Committee
%C Beijing, China
%F yamamoto-asakura-2010-even
%U https://aclanthology.org/W10-3906
%P 32-39

Markdown (Informal)

[Even Unassociated Features Can Improve Lexical Distributional Similarity](https://aclanthology.org/W10-3906) (Yamamoto & Asakura, 2010)

• Even Unassociated Features Can Improve Lexical Distributional Similarity (Yamamoto & Asakura, 2010)

ACL

• Kazuhide Yamamoto and Takeshi Asakura. 2010. Even Unassociated Features Can Improve Lexical Distributional Similarity. In Proceedings of the Second Workshop on NLP Challenges in the Information Explosion Era (NLPIX 2010), pages 32–39, Beijing, China. Coling 2010 Organizing Committee.