BERT Fine-tuning For Arabic Text Summarization

Khalid N. Elmadani; Mukhtar Elgezouli; Anas Showk

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arXiv · 2004.14135

BERT Fine-tuning For Arabic Text Summarization

Khalid N. Elmadani·Mukhtar Elgezouli·Anas Showk

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Abstract

Fine-tuning a pretrained BERT model is the state of the art method for extractive/abstractive text summarization, in this paper we showcase how this fine-tuning method can be applied to the Arabic language to both construct the first documented model for abstractive Arabic text summarization and show its performance in Arabic extractive summarization. Our model works with multilingual BERT (as Arabic language does not have a pretrained BERT of its own). We show its performance in English corpus first before applying it to Arabic corpora in both extractive and abstractive tasks.

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Khalid N. Elmadani, Mukhtar Elgezouli, Anas Showk. 2020-03-29. BERT Fine-tuning For Arabic Text Summarization. https://arxiv.org/abs/2004.14135

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