Leveraging BERT for Extractive Text Summarization on Lectures (Research Paper Walkthrough) – YouTube

Automatic summarization is the process of shortening a set of data computationally, to create a subset that represents the most important or relevant information within the original content. Extractive summarization can be seen as the task of ranking and scoring sentences in the document based on certain metrics and then picking top-k sentences as the representative summary. — Lees op m.youtube.com/watch