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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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https://hal-cnrs.archives-ouvertes.fr/hal-03817238
Contributor : Sandrine Ollinger Connect in order to contact the contributor
Submitted on : Monday, October 17, 2022 - 9:48:42 AM
Last modification on : Wednesday, October 19, 2022 - 3:50:59 AM

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  • HAL Id : hal-03817238, version 1

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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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