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dc.contributor.authorFisher, Samuel H.
dc.date.accessioned2014-03-04T02:31:39Z
dc.date.available2014-03-04T02:31:39Z
dc.date.issued2007-05
dc.identifier.otherfisher_samuel_h_200705_ma
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/fisher_samuel_h_200705_ma
dc.identifier.urihttp://hdl.handle.net/10724/23836
dc.description.abstractIn this thesis, I investigate the feasibility of an interactive computational model for improving the lexical semantic inferencing of the user. The model assumes lexical semantic inferencing to be a function of lexical knowledge and lexical semantic entailment scales enabling implicature. During processes of user-computer question answering, implicature scales are targeted for enrichment, and their component lexical items are added to the question-answer exchange. Particular emphasis is placed on the role of question words in a question-answer exchange and their relation to scalar implicature.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectdialogue processing
dc.subjectquestion answering
dc.subjectscalar implicature
dc.subjectattentional state
dc.subjectanaphora resolution
dc.subjectlexical processing
dc.titleQuestion words in scalar enrichment
dc.title.alternativea computational approach
dc.typeThesis
dc.description.degreeMA
dc.description.departmentLinguistics
dc.description.majorLinguistics
dc.description.advisorDon McCreary
dc.description.committeeDon McCreary
dc.description.committeeKeith Langston
dc.description.committeeSarah Blackwell


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