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_US
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_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/291/UMBC-at-TREC-12en_US
dc.format.extent8 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/m2shin-8hpr
dc.identifier.urihttp://hdl.handle.net/11603/12325
dc.language.isoen_USen_US
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.subjectinformation retrievalen_US
dc.subjecttopic distillation tasken_US
dc.subjectsemantic weben_US
dc.subjectclustering algorithmen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.subjectweb information retrieval
dc.titleUMBC at TREC 12en_US
dc.typeTexten_US

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