Text segmentation using BERT for text summarization

Abstract

Text summarization creates an automatically generated summary that includes all pertinent significant information from the original material. When looking at the summary results, extractive and abstractive techniques are one of the most common. In the near future, an extracted summary will be available. Extractive summarization selects a subset of sentences from the text to form a summary. In this work we have used the BERT model for Text Summarization using the method of Text Segmentation to achieve our goal.