Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgram

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dc.contributor.authorSatyapanich, Taneeya W.
dc.contributor.authorGao, Hang W.
dc.contributor.authorFinin, Tim
dc.date.accessioned2018-11-01T15:46:09Z
dc.date.available2018-11-01T15:46:09Z
dc.date.issued2015-06-04
dc.descriptionProceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)en
dc.description.abstractWe describe the system we developed to participate in SemEval 2015 Task 1, Paraphrase and Semantic Similarity in Twitter. We create similarity vectors from two-skip trigrams of preprocessed tweets and measure their semantic similarity using our UMBC-STS system. We submitted two runs. The best result is ranked eleventh out of eighteen teams with F1 score of 0.599.en
dc.description.sponsorshipPartial support for this research was provided by grants from the National Science Foundation (1228198 and 1250627) and a grant from the Maryland Industrial Partnerships program.en
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/693/Ebiquity-Paraphrase-and-Semantic-Similarity-in-Twitter-using-Skipgramen
dc.format.extent5 pagesen
dc.genreconference papers and proceedings pre-printen
dc.identifierdoi:10.13016/M2XP6V72N
dc.identifier.citationTaneeya W. Satyapanich, Hang W. Gao, and Tim Finin, Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgram, Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 51–55.https://ebiquity.umbc.edu/paper/html/id/693/Ebiquity-Paraphrase-and-Semantic-Similarity-in-Twitter-using-Skipgramen
dc.identifier.urihttp://hdl.handle.net/11603/11821
dc.language.isoenen
dc.publisherAssociation for Computational Linguisticsen
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.relation.ispartofUMBC Student 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.subjectParaphraseen
dc.subjectSemanticen
dc.subjectTwitteren
dc.subjectSkipgramen
dc.subjectUMBC Ebiquity Research Groupen
dc.titleEbiquity: Paraphrase and Semantic Similarity in Twitter using Skipgramen
dc.typeTexten

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