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Collecting Crowd-Sourced Lexical Coercions 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 represent many difficult phenomena related to the polysemy of words and their context-dependent meanings. However, they are just as powerful as their built-in lexical resources. This paper explores ways to create and enrich wide-coverage, weighted lexical resources from crowd-sourced data, specifically, investigating how existing rich lexical networks-created and validated by serious games-can be used to infer linguistic coercions with ranking.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01916195
Contributor : Mehdi Mirzapour <>
Submitted on : Thursday, November 8, 2018 - 12:13:53 PM
Last modification on : Thursday, May 16, 2019 - 8:22:01 PM
Long-term archiving on: : Saturday, February 9, 2019 - 2:02:41 PM

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  • HAL Id : lirmm-01916195, version 1

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Mathieu Lafourcade, Bruno Mery, Mehdi Mirzapour, Richard Moot, Christian Retoré. Collecting Crowd-Sourced Lexical Coercions for Compositional Semantic Analysis. LENLS: Logic and Engineering of Natural Language Semantics, Nov 2017, Tokyo, Japan. ⟨lirmm-01916195⟩

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