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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Soft computing (Berlin, Germany) Ročník 21; číslo 7; s. 1785 - 1801
Hlavní autoři:	Abdi, Asad, Idris, Norisma, Alguliyev, Rasim M., Aliguliyev, Ramiz M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2017 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!