Optimized Use of Multi-Document Summary Neural Networks and Allied Techniques

Volume 20 No 22 (2022)

D.Krishna, Dr.S.Jessica Saritha

DOI: 10.48047/NQ.2022.20.22.NQ10526

Abstract

Automatic multi document summarization entails involvement of extraction of essential information from various inputs. The chief obstacle is the redundancy of information abstractive process is based on information combination sentence compression and reformulation whereas extractive process covers assignment of salient features including paragraphs sentence various techniques of MDS have been reviewed with emphasis on deep learning networks in which sentence are used as input to the visible layer. The abstractive neural model has been stressed as the preferred technique

Keywords

Multi document summarization, DLN, NN

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