Beyond keyword and cue-phrase matching: A sentence-based abstraction technique for information extraction

With the explosion in the quantity of on-line text and multimedia information in recent years, there has been a renewed interest in the automated extraction of knowledge and information in various disciplines. In this paper, we provide a novel quantitative model for the creation of a summary by extr...

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Vydáno v:	Decision Support Systems Ročník 42; číslo 2; s. 759 - 777
Hlavní autor:	Chan, Samuel W.K.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.11.2006 Elsevier Science Elsevier Sequoia S.A
Témata:	Applied sciences Automatic summary Computer science; control theory; systems Connectionist model Data processing. List processing. Character string processing Exact sciences and technology Information extraction Information management Memory organisation. Data processing Shallow text processing Simulation Software Studies Connectionist model Information extraction Shallow text processing Automatic summary Textual data Multimedia Keyword Continuous function Text Abstraction Knowledge extraction Modeling Relevance Linguistics Knowledge discovery Sentence Quantitative analysis Automatic
ISSN:	0167-9236, 1873-5797
On-line přístup:	Získat plný text
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