Arabic Text Summarization Using AraBERT Model Using Extractive Text Summarization Approach

This study proposed an extractive Arabic text summarizer based on a general-purpose architecture for Natural Language Generation (NLG) and Natural Language Understanding (NLU) like (AraBERT, BERT, XLNet, XLM, etc.) to summarize the Arabic document by evaluating and extracting the most important sentences at this document.