Resolving Lexical Ambiguity in Tensor Regression Models of Meaning

Dimitri Kartsaklis, Nal Kalchbrenner, Mehrnoosh Sadrzadeh


Anthology ID:
P14-2035
Volume:
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
June
Year:
2014
Address:
Baltimore, Maryland
Editors:
Kristina Toutanova, Hua Wu
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
212–217
Language:
URL:
https://aclanthology.org/P14-2035
DOI:
10.3115/v1/P14-2035
Bibkey:
Cite (ACL):
Dimitri Kartsaklis, Nal Kalchbrenner, and Mehrnoosh Sadrzadeh. 2014. Resolving Lexical Ambiguity in Tensor Regression Models of Meaning. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 212–217, Baltimore, Maryland. Association for Computational Linguistics.
Cite (Informal):
Resolving Lexical Ambiguity in Tensor Regression Models of Meaning (Kartsaklis et al., ACL 2014)
Copy Citation:
PDF:
https://aclanthology.org/P14-2035.pdf