Leveraging BERT for Extractive Text Summarization on Lectures

8 code implementations • 7 Jun 2019 • Derek Miller

This paper reports on the project called Lecture Summarization Service, a python based RESTful service that utilizes the BERT model for text embeddings and KMeans clustering to identify sentences closes to the centroid for summary selection.

Clustering Extractive Summarization +2