What is it about?
Propose a model to determine the right sense of a polysemous Arabic word given its context. More precisely, we propose an hybridization of single-layer Convolutional Neural Network (CNN) with contextual representation (BERT) such as araBert and mbert.
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Why is it important?
Propose a machine learning based model to automatically find the desired sense of an Arabic word.
Perspectives
Propose large language model to classify the senses of an Arabic word.
fethi jarray
Universite de Gabes
Read the Original
This page is a summary of: Stacking of BERT and CNN models for Arabic Word Sense Disambiguation, ACM Transactions on Asian and Low-Resource Language Information Processing, September 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3623379.
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