Word Sense Disambiguation of French Lexicographical Examples Using Lexical Networks

Aman Sinha, Sandrine Ollinger, Mathieu Constant


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.
Anthology ID:
2022.textgraphs-1.8
Volume:
Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Editors:
Dmitry Ustalov, Yanjun Gao, Alexander Panchenko, Marco Valentino, Mokanarangan Thayaparan, Thien Huu Nguyen, Gerald Penn, Arti Ramesh, Abhik Jana
Venue:
TextGraphs
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
70–76
Language:
URL:
https://aclanthology.org/2022.textgraphs-1.8
DOI:
Bibkey:
Cite (ACL):
Aman Sinha, Sandrine Ollinger, and Mathieu Constant. 2022. Word Sense Disambiguation of French Lexicographical Examples Using Lexical Networks. In Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing, pages 70–76, Gyeongju, Republic of Korea. Association for Computational Linguistics.
Cite (Informal):
Word Sense Disambiguation of French Lexicographical Examples Using Lexical Networks (Sinha et al., TextGraphs 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/2022.textgraphs-1.8.pdf
Code
 atilf-umr7118/graphwsd