ArabGlossBERT: Fine-Tuning BERT on Context-Gloss Pairs for WSD

Using pre-trained transformer models such as BERT has proven to be effective in many NLP tasks. This paper presents our work to fine-tune BERT models for Arabic Word Sense Disambiguation (WSD). We treated the WSD task as a sentence-pair binary classification task. First, we constructed a dataset of...

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Veröffentlicht in:	arXiv.org 2022-05
Hauptverfasser:	Al-Hajj, Moustafa, Jarrar, Mustafa
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Information Retrieval Computer Science - Learning Context Datasets Natural language processing Word sense disambiguation
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