Weak-Learning-Summarization

Easy to use extractive text summarization with BERT

Pre-trained Transformers for Arabic Language Understanding and Generation (Arabic BERT, Arabic GPT2, Arabic ELECTRA)

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

Implementation of many Arabic NLP and CV projects. Providing real time experience using many interfaces like web, command line and notebooks.

Deep learning for AR text Vocalization - ??????? ????? ?????? ???????

a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)

Lecture summarization with BERT

Arabic edition of BERT pretrained language models

A Python implementation of Farasa toolkit

Datasets I have created for scientific summarization, and a trained BertSum model