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MELODI : Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting

Van de Cruys, Tim and Afantenos, Stergos and Muller, Philippe MELODI : Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting. (2013) In: 7th International Workshop on Semantic Evaluation (SemEval 2013) in : 2nd Joint Conference on Lexical and Computational Semantics (SEM 2013), 14 June 2013 - 15 June 2013 (Atlanta, GA, United States).

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Official URL: http://www.aclweb.org/anthology/S13-2017

Abstract

In this paper we present our system for the SemEval 2013 Task 5a on semantic similar- ity of words and compositional phrases. Our system uses a dependency-based vector space model, in combination with a technique called latent vector weighting. The system computes the similarity between a particular noun in- stance and the head noun of a particular noun phrase, which was weighted according to the semantics of the modifier. The system is en- tirely unsupervised; one single parameter, the similarity threshold, was tuned using the train- ing data.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-01231759
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:27 Oct 2015 13:57

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