Query-based multi-documents summarization using linguistic knowledge and content word expansion

In this paper, a query-based summarization method, which uses a combination of semantic relations between words and their syntactic composition, to extract meaningful sentences from document sets is introduced. The problem with current statistical methods is that they fail to capture the meaning whe...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 21; H. 7; S. 1785 - 1801
Hauptverfasser:	Abdi, Asad, Idris, Norisma, Alguliyev, Rasim M., Aliguliyev, Ramiz M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2017 Springer Nature B.V
Schlagworte:	Artificial Intelligence Computational Intelligence Control Documents Engineering Greedy algorithms Linguistics Mathematical Logic and Foundations Mechatronics Methodologies and Application Methods Performance enhancement Queries Redundancy Robotics Semantics Sentences Similarity Similarity measures Statistical methods User needs User requirements Words (language) Query expansion Extractive summarization Query-based multi-document summarization Graph-based sentence ranking
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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