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

Manna, Sukanya; Mendis, B Sumudu; Gedeon, Tamas (Tom)

Description

In 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...[Show more]

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.identifier.isbn9783642136719
dc.identifier.urihttp://hdl.handle.net/1885/54888
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.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.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2010
local.identifier.absfor080107 - Natural Language Processing
local.identifier.ariespublicationu3594520xPUB313
local.type.statusPublished Version
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.description.embargo2037-12-31
local.bibliographicCitation.startpage291
local.bibliographicCitation.lastpage298
local.identifier.doi10.1007/978-3-642-13672-6_29
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated2016-02-24T10:17:53Z
local.identifier.scopusID2-s2.0-79956321028
CollectionsANU Research Publications

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