A novel contextual topic model for multi-document summarization. Issue 3 (15th February 2015)

• Record Type: Journal Article
• Authors: Yang, Guangbing; Wen, Dunwei; Kinshuk; Chen, Nian-Shing; Sutinen, Erkki
• Is Part Of: Expert systems with applications. Volume 42:Issue 3(2015)
• Page Start: 1340
• Page End: 1352
• Publication Date: 2015-02-15
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2014.09.015
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st095">Highlights</title> <sec> <p id="sp0005"> <list id="l0005"> <list-item id="o0005"> <label></label> <p id="p0275">A novel contextual topic model is proposed for multi-document summarization.</p> </list-item> <list-item id="o0010"> <label></label> <p id="p0280">The main idea is to leverage hierarchical topics and their correlations with respect to the lexical co-occurrences of words.</p> </list-item> <list-item id="o0015"> <label></label> <p id="p0285">The proposed contextual topic model can effectively determine the relevance of sentences.</p> </list-item> </list> </p> </sec> </abstract>