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A Generalisation of Lexical Functions for Composition in Distributional Semantics

Bride, Antoine and Van de Cruys, Tim and Asher, Nicholas A Generalisation of Lexical Functions for Composition in Distributional Semantics. (2015) In: 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015), 26 July 2015 - 31 July 2015 (Beijing, China).

(Document in English)

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Official URL: https://doi.org/10.3115/v1/P15-1028


Over the last two decades, numerous algorithms have been developed that successfully capture something of the semanticsof single words by looking at their distribution in text and comparing these distributions in a vector space model. However, it is not straightforward to construct meaning representations beyond the levelof individual words–i.e. the combination of words into larger units – using dis-tributional methods. Our contribution is twofold. First of all, we carry out a large-scale evaluation, comparing different composition methods within the distributional framework for the cases of both adjective-noun and noun-noun composition, makinguse of a newly developed dataset. Secondly, we propose a novel method focomposition, which generalises the approach by Baroni and Zamparelli (2010). The performance of our novel method is also evaluated on our new dataset andproves competitive with the best methods.

Item Type:Conference or Workshop Item (Paper)
Additional Information:ACL : Association for Computational Linguistics https://www.aclweb.org/anthology/P15-1028/
HAL Id:hal-02355284
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited On:08 Nov 2019 09:21

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