Work

EnhancedBERT: A python software tailored for arabic word sense disambiguation

Year: 2024

Type: article

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. • A software framework designed to disambiguate Arabic polysemous terms using advanced natural language processing techniques. • Integrates transformer architectures with ensemble methods to achieve high performance in understanding and processing Arabic text. • A flexible pipeline that can be directly utilized or fine-tuned according to specific needs. • A contextual awareness makes it an invaluable tool for researchers and practitioners tackling complexities in Arabic language processing.

Source: Software Impacts

DOI: 10.1016/j.simpa.2024.100715

Authors: Sanaa Kaddoura, Reem Nassar

Institution: Zayed University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $480

Funder: Zayed University