Even Unassociated Features Can Improve Lexical Distributional Similarity

Kazuhide Yamamoto, Takeshi Asakura


Anthology ID:
W10-3906
Volume:
Proceedings of the Second Workshop on NLP Challenges in the Information Explosion Era (NLPIX 2010)
Month:
August
Year:
2010
Address:
Beijing, China
Venue:
WS
SIG:
Publisher:
Coling 2010 Organizing Committee
Note:
Pages:
32–39
Language:
URL:
https://aclanthology.org/W10-3906
DOI:
Bibkey:
Cite (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.
Cite (Informal):
Even Unassociated Features Can Improve Lexical Distributional Similarity (Yamamoto & Asakura, 2010)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/W10-3906.pdf