A document-sensitive graph model for multi-document summarization

In recent years, graph-based models and ranking algorithms have drawn considerable attention from the extractive document summarization community. Most existing approaches take into account sentence-level relations (e.g. sentence similarity) but neglect the difference among documents and the influen...

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Veröffentlicht in:	Knowledge and information systems Jg. 22; H. 2; S. 245 - 259
Hauptverfasser:	Wei, Furu, Li, Wenjie, Lu, Qin, He, Yanxiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer-Verlag 01.02.2010 Springer Springer Nature B.V
Schlagworte:	Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Artificial intelligence Computer based modeling Computer Science Computer science; control theory; systems Data Mining and Knowledge Discovery Database Management Documents Electronic documents Exact sciences and technology Graph theory Information Storage and Retrieval Information systems Information Systems and Communication Service Information Systems Applications (incl.Internet) Information systems. Data bases IT in Business Memory organisation. Data processing Ratings & rankings Regular Paper Software Speech and sound recognition and synthesis. Linguistics Studies Theoretical computing Query-oriented summarization Graph-based ranking algorithm Inter- and intra-document relation Graph-based summarization model Generic summarization Database query Hierarchical classification Abstract Transmission protocol Iterative method Graph theory Modeling Document structure Linguistics Sentence Document analysis
ISSN:	0219-1377, 0219-3116
Online-Zugang:	Volltext
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