Document (#39974)

Author
Chang, Y.-W.
Title
Influence of human behavior and the principle of least effort on library and information science research
Source
Information processing and management. 52(2016) no.4, S.658-669
Year
2016
Abstract
General graph random walk has been successfully applied in multi-document summarization, but it has some limitations to process documents by this way. In this paper, we propose a novel hypergraph based vertex-reinforced random walk framework for multi-document summarization. The framework first exploits the Hierarchical Dirichlet Process (HDP) topic model to learn a word-topic probability distribution in sentences. Then the hypergraph is used to capture both cluster relationship based on the word-topic probability distribution and pairwise similarity among sentences. Finally, a time-variant random walk algorithm for hypergraphs is developed to rank sentences which ensures sentence diversity by vertex-reinforcement in summaries. Experimental results on the public available dataset demonstrate the effectiveness of our framework.
Content
Vgl.: http://www.sciencedirect.com/science/article/pii/S030645731500148X.
Theme
Informetrie
Field
Bibliothekswesen
Informationswissenschaft
Object
Zipf-Gesetz

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