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Capture of Evidence for Summarization: An Application of Enhanced Subjective Logic

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dc.contributor.authorManna, Sukanya
dc.contributor.authorMendis, B Sumudu
dc.contributor.authorGedeon, Tamas (Tom)
dc.coverage.spatialHyderabad India
dc.date.accessioned2015-12-10T22:29:24Z
dc.date.createdJune 21-24 2010
dc.date.issued2010
dc.date.updated2016-02-24T10:17:53Z
dc.description.abstractIn this paper, we present a method to generate an extractive summary from a single document using subjective logic. The idea behind our approach is to consider words and their co-occurrences between sentences in a document as evidence of their relatedness to the contextual meaning of the document. Our aim is to formulate a measure to find out 'opinion' about a proposition (which is a sentence in this case) using subjective logic in a closed environment (as in a document). Stronger opinion about a sentence represents its importance and are hence considered to summarize a document. Summaries generated by our method when evaluated with human generated summaries, show that they are more similar than baseline summaries.
dc.identifier.isbn9783642136719
dc.identifier.urihttp://hdl.handle.net/1885/54888
dc.publisherSpringer
dc.relation.ispartofseriesPacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010)
dc.sourceAdvances in Knowledge Discovery & Data Mining Proceedings of the 14th Pacific Asia conference (PAKDD)
dc.source.urihttp://www.springerlink.com/content/97700575g7r15740/
dc.subjectKeywords: Events; Evidence; Information extraction; Opinions; Subjective Logic; Summarization; Data mining Events; Evidence; Information extraction; Opinions; Subjective logic; Summarization
dc.titleCapture of Evidence for Summarization: An Application of Enhanced Subjective Logic
dc.typeConference paper
local.bibliographicCitation.lastpage298
local.bibliographicCitation.startpage291
local.contributor.affiliationManna, Sukanya, College of Engineering and Computer Science, ANU
local.contributor.affiliationMendis, B Sumudu, College of Engineering and Computer Science, ANU
local.contributor.affiliationGedeon, Tamas (Tom), College of Engineering and Computer Science, ANU
local.contributor.authoruidManna, Sukanya, u4321410
local.contributor.authoruidMendis, B Sumudu, u4135721
local.contributor.authoruidGedeon, Tamas (Tom), u4088783
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080107 - Natural Language Processing
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu3594520xPUB313
local.identifier.doi10.1007/978-3-642-13672-6_29
local.identifier.scopusID2-s2.0-79956321028
local.type.statusPublished Version

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