UMBC at TREC 12

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dc.contributor.authorKallurkar, Srikanth
dc.contributor.authorShi, Yongmei
dc.contributor.authorCost, R. Scott
dc.contributor.authorNicholas, Charles
dc.contributor.authorJava, Akshay
dc.contributor.authorJames, Christopher
dc.contributor.authorRajavaram, Sowjanya
dc.contributor.authorShanbhag, Vishal
dc.contributor.authorBhatkar, Sachin
dc.contributor.authorOgle, Drew
dc.date.accessioned2018-12-19T20:34:28Z
dc.date.available2018-12-19T20:34:28Z
dc.date.issued2003-11-18
dc.descriptionProceedings of the Twelfth Text Retrieval Conferenceen
dc.description.abstractWe present the results of UMBC’s participation in the Web and Novelty tracks. We explored various heuristics-based link analysis approaches to the Topic Distillation task. For the novelty task we tried several methods for exploiting semantic information of sentences based on the SVD technique. We used SVD to expand the query and to filter redundant sentences. We also used a clustering algorithm that is also based on SVD.en
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/291/UMBC-at-TREC-12en
dc.format.extent8 pagesen
dc.genreconference papers and proceedings preprintsen
dc.identifierdoi:10.13016/m2shin-8hpr
dc.identifier.urihttp://hdl.handle.net/11603/12325
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 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.subjectweb information retrieval
dc.subjectinformation retrievalen
dc.subjecttopic distillation tasken
dc.subjectsemantic weben
dc.subjectclustering algorithmen
dc.subjectUMBC Ebiquity Research Groupen
dc.titleUMBC at TREC 12en
dc.typeTexten

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