dc.contributor.authorBaldwin, Timothy
dc.contributor.authorKim, Su Nam
dc.contributor.authorBond, Francis
dc.contributor.authorFujita, Sanae
dc.contributor.authorMartinez, David
dc.contributor.authorTanaka, Takaaki
dc.description.abstractThis paper reconsiders the task of MRD-based word sense disambiguation, in extending the basic Lesk algorithm to investigate the impact on WSD performance of different tokenisation schemes and methods of definition extension. In experimentation over the Hinoki Sensebank and the Japanese Senseval-2 dictionary task, we demonstrate that sense-sensitive definition extension over hyponyms, hypernyms and synonyms, combined with definition extension and word tokenisation leads to WSD accuracy above both unsupervised and supervised baselines. In doing so, we demonstrate the utility of ontology induction and establish new opportunities for the development of baseline unsupervised WSD methods.en_US
dc.format.extent21 p.en_US
dc.relation.ispartofseriesACM transactions on Asian language information processingen_US
dc.rights© 2010 Association for Computing Machinery. This is the author created version of a work that has been peer reviewed and accepted for publication by ACM Transactions on Asian Language Information Processing, Association for Computing Machinery. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [DOI: http://dx.doi.org/10.1145/1731035.1731039].
dc.subjectDRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics
dc.titleA reexamination of MRD-based word sense disambiguationen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Humanities and Social Sciencesen_US
dc.description.versionAccepted versionen_US

Files in this item


This item appears in the following Collection(s)

Show simple item record