Collecting Weighted Coercions from Crowd-Sourced Lexical Data for Compositional Semantic Analysis - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2018

Collecting Weighted Coercions from Crowd-Sourced Lexical Data for Compositional Semantic Analysis

Abstract

Type-theoretic frameworks for compositional semantics are aimed at producing structured meaning representations of natural language utterances.
Using elements of lexical semantics, these frameworks are able to model many complex phenomena related to the polysemy of words and their context-dependent meanings. However, they are just as powerful as the lexical resources they can access. This paper explores ways to create and enrich wide-coverage, weighted lexical resources from crowd-sourced data. Specifically, we investigate how existing rich lexical networks – created and validated by serious games – can be used to infer linguistic coercions along with ranking corresponding to preferences in their interpretations.
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Dates and versions

lirmm-01916209 , version 1 (08-11-2018)

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Mathieu Lafourcade, Bruno Mery, Mehdi Mirzapour, Richard Moot, Christian Retoré. Collecting Weighted Coercions from Crowd-Sourced Lexical Data for Compositional Semantic Analysis. JSAI-isAI Workshops, Nov 2017, Tokyo, Japan. pp.214-230, ⟨10.1007/978-3-319-93794-6_15⟩. ⟨lirmm-01916209⟩
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