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A Semantic Similarity Measure Based on Lexico-Syntactic Patterns.

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Panchenko, Alexander [UCL] Morozova, Olga [UCL] Fairon, Cédrick [UCL]

This paper presents a novel semantic similarity measure based on lexico-syntactic patterns such as those proposed by Hearst (1992). The measure achieves a correlation with human judgements up to 0.739. Additionally, we evaluate it on the tasks of semantic relation ranking and extraction. Our results show that the measure provides results comparable to the baselines without the need for any fine-grained semantic resource such as WordNet.

Document type Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection
Access type Accès libre
Publication date 2012
Language Anglais
Conference "Proceedings of KONVENS 2012", Vienne (Autriche) (du 19/09/2012 au 21/09/2012)
Affiliations UCL - SSH/ILC/PLIN - Pôle de recherche en linguistique
UCL - SSH/ILC - Institut Langage et Communication
UCL - SSH/TALN - Centre de traitement automatique du langage
Keywords semantic similarity measure ; lexico-syntactic patterns ; semantic relations
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Bibliographic reference Panchenko, Alexander ; Morozova, Olga ; Fairon, Cédrick. A Semantic Similarity Measure Based on Lexico-Syntactic Patterns..Proceedings of KONVENS 2012 (Vienne (Autriche), du 19/09/2012 au 21/09/2012).
Permanent URL http://hdl.handle.net/2078.1/120417