EnhancedBERT: A python software tailored for arabic word sense disambiguation

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.

Authors

Institutions

Publication Details

Journal
Software Impacts
Published
2024-11-01
DOI
https://doi.org/10.1016/j.simpa.2024.100715
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EnhancedBERT: A python software tailored for arabic word sense disambiguation

Sanaa Kaddoura, Reem Nassar
Software Impacts
Natural Language Processing Techniques
article

EnhancedBERT: A python software tailored for arabic word sense disambiguation

Sanaa Kaddoura, Reem Nassar
article en

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.

Software ImpactsVol. 22
Zayed University (AE)
Zayed University
Openalex Percentile: Top 82%
Natural Language Processing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.