Multi-granularity hierarchical topic-based segmentation of structured, digital library resources

Purpose Current segmentation systems almost invariably focus on linear segmentation and can only divide text into linear sequences of segments. This suits cohesive text such as news feed but not coherent texts such as documents of a digital library which have hierarchical structures. To overcome the...

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Vydané v:	Electronic library Ročník 35; číslo 1; s. 99 - 120
Hlavní autori:	Wang, Zhongyi, Zhang, Jin, Huang, Jing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Emerald Publishing Limited 01.01.2017 Emerald Group Publishing Limited
Predmet:	Access Algorithms Cohesion Computerized corpora Cues Digital libraries Digital systems Electronic Libraries Hierarchies Image segmentation Information overload Information retrieval Libraries Library resources Library users Linguistics Literature Reviews Methods Morphemes Parsing Relevance Repetition Resources Retrieval Retrieval performance measures Segmentation Segments Semantics Semiotics Sentences Sequences Spelling Structural hierarchy Studies Syntax Text editing Text processing (Computer science) Topic and comment New York United States > US China Access structures Digital library resources Hierarchical segmentation Lexical cohesion Structured segmentation AIC Optimum partitioning clustering
ISSN:	0264-0473, 1758-616X, 1758-616X
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