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dc.contributor.authorLau, JH
dc.contributor.authorNewman, D
dc.contributor.authorKarimi, S
dc.contributor.authorBaldwin, T
dc.date.available2014-05-22T04:33:50Z
dc.date.issued2010-12-01
dc.identifier.citationLau, J. H., Newman, D., Karimi, S. & Baldwin, T. (2010). Best topic word selection for topic labelling. Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference, 2, (1), pp.605-613. The Association for Computational Linguistics.
dc.identifier.urihttp://hdl.handle.net/11343/31908
dc.descriptionInternational Conference on Computational Linguistics (COLING)
dc.publisherThe Association for Computational Linguistics
dc.source23rd International Conference on Computational Linguistics
dc.subjectArtificial Intelligence and Image Processing
dc.titleBest topic word selection for topic labelling
dc.typeConference Paper
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentComputer Science and Software Engineering
melbourne.source.titleColing 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference
melbourne.source.volume2
melbourne.source.issue1
melbourne.source.pages605-613
melbourne.publicationid153559
melbourne.elementsid328395
melbourne.contributor.authorNEWMAN, DAVID
melbourne.contributor.authorBaldwin, Timothy
melbourne.contributor.authorLau, Jey Han
melbourne.accessrightsThis item is currently not available from this repository


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