@inproceedings{sinha-etal-2022-word,
title = "Word Sense Disambiguation of {F}rench Lexicographical Examples Using Lexical Networks",
author = "Sinha, Aman and
Ollinger, Sandrine and
Constant, Mathieu",
editor = "Ustalov, Dmitry and
Gao, Yanjun and
Panchenko, Alexander and
Valentino, Marco and
Thayaparan, Mokanarangan and
Nguyen, Thien Huu and
Penn, Gerald and
Ramesh, Arti and
Jana, Abhik",
booktitle = "Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.textgraphs-1.8",
pages = "70--76",
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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%0 Conference Proceedings
%T Word Sense Disambiguation of French Lexicographical Examples Using Lexical Networks
%A Sinha, Aman
%A Ollinger, Sandrine
%A Constant, Mathieu
%Y Ustalov, Dmitry
%Y Gao, Yanjun
%Y Panchenko, Alexander
%Y Valentino, Marco
%Y Thayaparan, Mokanarangan
%Y Nguyen, Thien Huu
%Y Penn, Gerald
%Y Ramesh, Arti
%Y Jana, Abhik
%S Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing
%D 2022
%8 October
%I Association for Computational Linguistics
%C Gyeongju, Republic of Korea
%F sinha-etal-2022-word
%X 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.
%U https://aclanthology.org/2022.textgraphs-1.8
%P 70-76
Markdown (Informal)
[Word Sense Disambiguation of French Lexicographical Examples Using Lexical Networks](https://aclanthology.org/2022.textgraphs-1.8) (Sinha et al., TextGraphs 2022)
ACL