Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/70015
DC FieldValueLanguage
dc.contributorDepartment of Computing-
dc.creatorMaofu, L-
dc.creatorLi, W-
dc.creatorXiaolong, Z-
dc.creatorJi, Z-
dc.date.accessioned2017-11-13T02:16:31Z-
dc.date.available2017-11-13T02:16:31Z-
dc.identifier.isbn978-3-642-00830-6-
dc.identifier.isbn978-3-642-00831-3-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10397/70015-
dc.descriptionICCPOL 2009 : 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy, Hong Kong, March 26-27, 2009en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectEvent-Based summarizationen_US
dc.subjectEvent term graphen_US
dc.subjectTemporal event term chainen_US
dc.subjectDepth-First search algorithmen_US
dc.titleEvent-based summarization using critical temporal event term chainen_US
dc.typeConference Paperen_US
dc.identifier.spage378-
dc.identifier.epage385-
dc.identifier.volume5459-
dc.identifier.doi10.1007/978-3-642-00831-3_38-
dcterms.abstractIn this paper, we investigate whether temporal relations among event terms can help improve event-based summarization and text cohesion of final summaries. By connecting event terms with happens-before relations, we build a temporal event term graph for source documents. The event terms in the critical temporal event term chain identified from the maximal weakly connected component are used to evaluate the sentences in source documents. The most significant sentences are included in final summaries. Experiments conducted on the DUC 2001 corpus show that event-based summarization using the critical temporal event term chain is able to organize final summaries in a more coherent way and make improvement over the well-known tf*idf-based and PageRank-based summarization approaches.-
dcterms.bibliographicCitationLecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2009, v. 5459, p. 378-385-
dcterms.isPartOfLecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics)-
dcterms.issued2009-
dc.relation.conferenceInternational Conference on Computer Processing of Oriental Languages [ICCPOL]-
dc.identifier.eissn1611-3349-
dc.identifier.rosgroupidr43952-
dc.description.ros2008-2009 > Academic research: refereed > Refereed conference paper-
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