Abstractive Summarization of Malayalam Document using Sequence to Sequence Model

Abstract

There are different text summarization process available in Natural Language Processing. Among them abstractive text summarization is one of the challenging problems in natural language processing. Abstractive text summarization contains a short and concise summary of a large text document built from the underlying message of the text. The objective of the proposed system is to create a short and understandable abstractive summary of a malayalam text document. A sequence to sequence model is used to create the summary of the document. In this work, the goal was to increase the efficiency and reduce the training loss of a sequence to sequence model thereby implementing a better abstractive text summarizer for a malayalam document.