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Conference Papers Year : 2022

Word Sense Disambiguation of French Lexicographical Examples Using Lexical Networks

Abstract

This paper focuses on the task of word sense disambiguation (WSD) on lexicographic examples relying on the French Lexical Network (fr-LN). For this purpose, we exploit the lexical and relational properties of the network, that we integrated in a feedforward neural WSD model on top of pretrained French BERT embeddings. We provide a comparative study with various models and further show the impact of our approach regarding polysemic units.
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Dates and versions

hal-03817238 , version 1 (17-10-2022)

Identifiers

  • HAL Id : hal-03817238 , version 1

Cite

Aman Sinha, Sandrine Ollinger, Mathieu Constant. Word Sense Disambiguation of French Lexicographical Examples Using Lexical Networks. TextGraphs-16: Graph-based Methods for Natural Language Processing, Oct 2022, Gyeongju, South Korea. pp.70-76. ⟨hal-03817238⟩
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