UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems

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dc.contributor.authorHan, Lushan
dc.contributor.authorKashyap, Abhay L.
dc.contributor.authorFinin, Tim
dc.contributor.authorMayfield, James
dc.contributor.authorWeese, Johnathan
dc.date.accessioned2018-11-05T14:17:26Z
dc.date.available2018-11-05T14:17:26Z
dc.date.issued2013-06-13
dc.descriptionProceedings of the Second Joint Conference on Lexical and Computational Semanticsen
dc.description.abstractWe describe three semantic text similarity systems developed for the *SEM 2013 STS shared task and the results of the corresponding three runs. All of them used a word similarity feature that combined LSA word similarity and WordNet knowledge. The first run, which achieved the top mean score on the task of all the submissions, used a simple term alignment algorithm. The other two runs, ranked second and fourth, used SVM models to combine a larger sets of features.en
dc.description.sponsorshipThis research was supported by AFOSR award FA9550-08-1-0265 and a gift from Microsoft.en
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/621/UMBC_EBIQUITY-CORE-Semantic-Textual-Similarity-Systemsen
dc.format.extent9 pagesen
dc.genreconference papers and proceedings pre-printen
dc.identifierdoi:10.13016/M28W38626
dc.identifier.citationLushan Han, Abhay L. Kashyap, Tim Finin, James Mayfield, and Johnathan Weese, UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems, Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013.en
dc.identifier.urihttp://hdl.handle.net/11603/11852
dc.language.isoenen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectlanguageen
dc.subjectnatural language processingen
dc.subjectsemanticsen
dc.subjectUMBC Ebiquity Research Groupen
dc.titleUMBC_EBIQUITY-CORE: Semantic Textual Similarity Systemsen
dc.typeTexten

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