Semantic Title Evaluation and Recommendation Based on Topic Models

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dc.contributor.authorJin, Huidong (Warren)
dc.contributor.authorZhang, Lijiu
dc.contributor.authorDu, Lan
dc.coverage.spatialGold Coast Australia
dc.date.accessioned2015-12-08T22:09:53Z
dc.date.createdApril 14-17 2013
dc.date.issued2013
dc.date.updated2015-12-08T07:28:31Z
dc.description.abstractTo digest tremendous documents efficiently, people often resort to their titles, which normally provide a concise and semantic representation of main text. Some titles however are misleading due to lexical ambiguity or eye-catching intention. The requirem
dc.identifier.isbn9783642403187
dc.identifier.urihttp://hdl.handle.net/1885/29233
dc.publisherSpringer
dc.relation.ispartofseriesPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013)
dc.sourceTrends and Applications in Knowledge Discovery and Data Mining: PAKDD 2013 Workshops
dc.source.urihttp://pakdd2013.pakdd.org/
dc.titleSemantic Title Evaluation and Recommendation Based on Topic Models
dc.typeConference paper
local.bibliographicCitation.lastpage413
local.bibliographicCitation.startpage402
local.contributor.affiliationJin, Huidong (Warren), College of Engineering and Computer Science, ANU
local.contributor.affiliationZhang, Lijiu, College of Engineering and Computer Science, ANU
local.contributor.affiliationDu, Lan, Macquarie University
local.contributor.authoruidJin, Huidong (Warren), u1817131
local.contributor.authoruidZhang, Lijiu, u4706697
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu9609633xPUB63
local.identifier.doi10.1007/978-3-642-37456-2_34
local.identifier.scopusID2-s2.0-84893625704
local.type.statusPublished Version

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