Fine-Tuning AraBART on AHS Dataset for Arabic Abstractive Summarization

Mustapha Benbarka; Moulay Abdellah Kassimi

doi:10.1007/978-3-031-79164-2_15

ScienceGate Book Chapters

BOOK-CHAPTER

Fine-Tuning AraBART on AHS Dataset for Arabic Abstractive Summarization

Mustapha Benbarka Moulay Abdellah Kassimi

Year: 2025 Communications in computer and information science Pages: 170-182 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-79164-2_15

Get Full-Text PDF Get Analytical Report

Keywords:

Automatic summarization Arabic Computer science Natural language processing Information retrieval Thesaurus Artificial intelligence Linguistics Philosophy

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.05

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Fine-Tuning AraBART on AHS Dataset for Arabic Abstractive Summarization

Metrics

Topics

Related Documents

Fine Tuning an AraT5 Transformer for Arabic Abstractive Summarization

Cross-lingual Fine-tuning for Abstractive Arabic Text Summarization

Abstractive Arabic Text Summarization Based on MT5 and AraBart Transformers

AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization

Fine-Tuning BART for Abstractive Reviews Summarization