Paper Implementation: Fine-tune BERT for Extractive Summarization

Deep Learning project for the Machine Learning course in the M2 BDMA @Université Paris-Saclay, CentraleSupélec.

Authors:

The full report can be read in the pdf file, and the code is accessible in this repo.

A general slides presentation of the project can be read in this pdf.

This project has allowed us to understand in depth the BERT model and how it can be leveraged for different NLP tasks, especially for extractive summarization.