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dc.contributor.advisorCunningham, Pádraig
dc.contributor.authorHogan, Deirdre
dc.date.accessioned2019-04-30T09:12:28Z
dc.date.available2019-04-30T09:12:28Z
dc.date.issued2007
dc.identifier.citationDeirdre Hogan, 'On coordination disambiguation in a generative parsing model, with memory-based techniques for parameter estimation.', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2007, pp 138
dc.identifier.otherTHESIS 8182
dc.identifier.urihttp://hdl.handle.net/2262/86377
dc.description.abstractThis thesis is concerned with improving existing generative history-based probability models' treatment of noun phrase coordination and the development of memory based techniques for model parameter estimation. Lexicalised generative history-based parsing models have proven to be highly successful at robust and accurate parsing. Although such models already achieve impressive overall accuracy results there is nevertheless potential for improvement, particularly in areas of difficulty for such parsers, such as coordination disambiguation and, more generally, parameter estimation from sparse data.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Computer Science & Statistics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb12942585
dc.subjectComputer Science, Ph.D.
dc.subjectPh.D. Trinity College Dublin
dc.titleOn coordination disambiguation in a generative parsing model, with memory-based techniques for parameter estimation.
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 138
dc.description.noteTARA (Trinity's Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie


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