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dc.contributor.advisorErk, Katrin
dc.creatorRoller, Stephen Creig
dc.date.accessioned2017-09-11T16:15:15Z
dc.date.available2017-09-11T16:15:15Z
dc.date.created2017-05
dc.date.issued2017-06-19
dc.date.submittedMay 2017
dc.identifierdoi:10.15781/T22805F29
dc.identifier.urihttp://hdl.handle.net/2152/61528
dc.description.abstractMany modern efforts in Natural Language Understanding depend on rich and powerful semantic representations of words. Systems for sophisticated logical and textual reasoning often depend heavily on lexical resources to provide critical information about relationships between words, but these lexical resources are expensive to create and maintain, and are never fully comprehensive. Distributional Semantics has long offered methods for automatically inducing meaning representations from large corpora, with little or no annotation efforts. The resulting representations are valuable proxies of semantic similarity, but simply knowing two words are similar cannot tell us their relationship, or whether one entails the other. In this thesis, we consider how methods from Distributional Semantics may be applied to the difficult task of lexical entailment, where one must predict whether one word implies another. We approach this by showing contributions in areas of hypernymy detection, lexical relationship prediction, lexical substitution, and textual entailment. We propose novel experimental setups, models, analysis, and interpretations, which ultimate provide us with a better understanding of both the nature of lexical entailment, as well as the information available within distributional representations.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectNatural language processing
dc.subjectLexical semantics
dc.subjectLexical relationships
dc.subjectHypernymy
dc.subjectDistributional semantics
dc.titleIdentifying lexical relationships and entailments with distributional semantics
dc.typeThesis
dc.date.updated2017-09-11T16:15:15Z
dc.contributor.committeeMemberMooney, Raymond J
dc.contributor.committeeMemberMiikkulainen, Risto
dc.contributor.committeeMemberPadó, Sebastian
dc.description.departmentComputer Sciences
thesis.degree.departmentComputer Sciences
thesis.degree.disciplineComputer Science
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy
dc.type.materialtext


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