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dc.contributor.authorYue, Lin
dc.contributor.authorShi, Zhenkun
dc.contributor.authorHan, Jiayu
dc.contributor.authorWang, Sen
dc.contributor.authorChen, Weitong
dc.contributor.authorZuo, Wanli
dc.date.accessioned2017-09-13T00:34:00Z
dc.date.available2017-09-13T00:34:00Z
dc.date.issued2017
dc.identifier.issn0925-2312
dc.identifier.doi10.1016/j.neucom.2016.12.084
dc.identifier.urihttp://hdl.handle.net/10072/346254
dc.description.abstractOrganizing a coherent structure of the sentences extracted from multiple documents, guarantees the fluency and readability of the fused document. In this paper, sentence ordering problem is treated as a combinatorial optimization problem and solved with continuous Hopfield neural network (CHNN). We unify the existing factors by considering the most frequent orders temporal information, and topical relevance between local themes during overall ordering process. Specifically, ordering algorithm traverses all the local themes and locates a shortest path as the final sentence ordering. We show the results with data from Document Understanding Conferences (DUC) 2002–2005, and demonstrate the effectiveness of the developed approach compared with Random Ordering (RO), Chronological Ordering (CO), Majority Ordering (MO), and Precedence Relation Ordering (PRO).
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofpagefrom6
dc.relation.ispartofpageto14
dc.relation.ispartofjournalNeurocomputing
dc.relation.ispartofvolume253
dc.subject.fieldofresearchEvolutionary computation
dc.subject.fieldofresearchProcedural content generation
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchPsychology
dc.subject.fieldofresearchcode460203
dc.subject.fieldofresearchcode460705
dc.subject.fieldofresearchcode40
dc.subject.fieldofresearchcode52
dc.titleMulti-factors based sentence ordering for cross-document fusion from multimodal content
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorWang, Sen


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