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Enhancement of Subjective Logic for Semantic Document Analysis Using Hierarchical Document Signature

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

Description

In this paper, an extension of Subjective Logic (SL) is presented which uses semantic information from a document to find 'opinions' about a sentence. This method computes semantic overlap of events (words or sentences) using Hierarchical Document Signature (HDS) and uses it as evidence to formulate SL belief measures to order sentences according to their importance. Stronger the opinion, more is the significance. These significant sentences then form extractive summaries of the document. The...[Show more]

dc.contributor.authorManna, Sukanya
dc.contributor.authorGedeon, Tamas (Tom)
dc.contributor.authorMendis, B Sumudu
dc.coverage.spatialSydney Australia
dc.date.accessioned2015-12-10T22:30:33Z
dc.date.createdNovember 22-25 2010
dc.identifier.isbn9783642175336
dc.identifier.urihttp://hdl.handle.net/1885/55140
dc.description.abstractIn this paper, an extension of Subjective Logic (SL) is presented which uses semantic information from a document to find 'opinions' about a sentence. This method computes semantic overlap of events (words or sentences) using Hierarchical Document Signature (HDS) and uses it as evidence to formulate SL belief measures to order sentences according to their importance. Stronger the opinion, more is the significance. These significant sentences then form extractive summaries of the document. The experimental results show that summaries generated by this method are more similar to human generated ones have outperformed the baseline summaries on average over all the data sets considered.
dc.publisherSpringer
dc.relation.ispartofseriesInternational Conference on Neural Information Processing (ICONIP 2010)
dc.sourceProceedings of the International Conference on Neural Information Processing (ICONIP 2010)
dc.subjectKeywords: evidence; Hierarchical document; opinions; Subjective Logic; summarization; Data processing; Semantics evidence; Hierarchical Document Signature; opinions; semantic; subjective logic; summarization
dc.titleEnhancement of Subjective Logic for Semantic Document Analysis Using Hierarchical Document Signature
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2010
local.identifier.absfor080107 - Natural Language Processing
local.identifier.ariespublicationU3594520xPUB320
local.type.statusPublished Version
local.contributor.affiliationManna, Sukanya, College of Engineering and Computer Science, ANU
local.contributor.affiliationGedeon, Tamas (Tom), College of Engineering and Computer Science, ANU
local.contributor.affiliationMendis, B Sumudu, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage298
local.bibliographicCitation.lastpage306
local.identifier.doi10.1007/978-3-642-17537-4_37
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated2016-02-24T10:17:58Z
local.identifier.scopusID2-s2.0-78650210484
CollectionsANU Research Publications

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