Document Type
Article
Source of Publication
Software Impacts
Publication Date
11-1-2024
Abstract
EnhancedBERT is a software framework designed to disambiguate Arabic polysemous terms using advanced natural language processing techniques. It integrates transformer architectures with ensemble methods to achieve high performance in understanding and processing Arabic text. The framework provides a flexible pipeline that can be directly utilized or fine-tuned according to specific needs. EnhancedBERT stands out for its ease of use, leveraging transformer-based models combined with ensemble strategies to provide superior contextual understanding. This contextual awareness makes it an invaluable tool for researchers and practitioners tackling complexities in Arabic language processing.
DOI Link
ISSN
Volume
22
Disciplines
Computer Sciences
Keywords
Arabic word sense disambiguation, BERT, Language models, Machine learning, Natural language processing (NLP)
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Kaddoura, Sanaa and Nassar, Reem, "EnhancedBERT: A python software tailored for arabic word sense disambiguation" (2024). All Works. 6926.
https://zuscholars.zu.ac.ae/works/6926
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series