Abstractive Text Summarization based on Improved Semantic Graph Approach

The goal of abstractive summarization of multi-documents is to automatically produce a condensed version of the document text and maintain the significant information. Most of the graph-based extractive methods represent sentence as bag of words and utilize content similarity measure, which might fa...

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Bibliographic Details
Published in:	International journal of parallel programming Vol. 46; no. 5; pp. 992 - 1016
Main Authors:	Khan, Atif, Salim, Naomie, Farman, Haleem, Khan, Murad, Jan, Bilal, Ahmad, Awais, Ahmed, Imran, Paul, Anand
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.10.2018 Springer Nature B.V
Subjects:	Computer Science Documents Graph theory Processor Architectures Ranking Semantics Sentences Similarity Software Engineering/Programming and Operating Systems Special Issue on Parallel Approaches for Data Mining in the Internet of Things Realm Theory of Computation Semantic role labeling (SRL) Graph based ranking algorithm Semantic graph Semantic similarity measure Multi-document abstractive summarization
ISSN:	0885-7458, 1573-7640
Online Access:	Get full text
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