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%0 Conference Proceedings
%T Resolving Lexical Ambiguity in Tensor Regression Models of Meaning
%A Kartsaklis, Dimitri
%A Kalchbrenner, Nal
%A Sadrzadeh, Mehrnoosh
%Y Toutanova, Kristina
%Y Wu, Hua
%S Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2014
%8 June
%I Association for Computational Linguistics
%C Baltimore, Maryland
%F kartsaklis-etal-2014-resolving
%R 10.3115/v1/P14-2035
%U https://aclanthology.org/P14-2035
%U https://doi.org/10.3115/v1/P14-2035
%P 212-217

Markdown (Informal)

[Resolving Lexical Ambiguity in Tensor Regression Models of Meaning](https://aclanthology.org/P14-2035) (Kartsaklis et al., ACL 2014)

• Resolving Lexical Ambiguity in Tensor Regression Models of Meaning (Kartsaklis et al., ACL 2014)

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.