NIST

Results: 18894



#Item
781Information retrieval / Natural language processing / Bioinformatics / Ontology / Relevance feedback / TREC Genomics / Relevance / Gene Ontology / Precision and recall / Science / Information science / Information

Microsoft Word - TREC Genomics Formatted.doc

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Language: English
782Information / Computational linguistics / Semantic Web / Information retrieval / Knowledge representation / Unified Medical Language System / Text Retrieval Conference / Ontology / Science / Information science / Natural language processing

Empirical Ontologies for Cohort Identification Stephen Wu, Kavishwar Wagholikar, Sunghwan Sohn, Vinod Kaggal, Hongfang Liu Mayo Clinic, Rochester, MN 1

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783Linguistics / Natural language processing / Computational linguistics / Language model / Statistical natural language processing / N-gram / Document retrieval / Relevance / Adjective / Information science / Information retrieval / Science

Microsoft Word - trec2006blogcmu.doc

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784Concept Search / Document retrieval / Unified Medical Language System / Text Retrieval Conference / Full text search / Search engine indexing / Semantic search / Precision and recall / PubMed / Information science / Information retrieval / Science

Information Retrieval Framework for Technology Survey in Biomedical and Chemistry Literature 1 ¨ Harsha Gurulingappa1,2 , Bernd Muller , Martin Hofmann-Apitius1,2 , and Juliane Fluck1

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785Information retrieval / Natural language processing / Linguistics / Text Retrieval Conference / Question answering / Web content / Question / Computational linguistics / Science / Information science

Factoid Question Answering over Unstructured and Structured Web Content Silviu Cucerzan and Eugene Agichtein Microsoft Research One Microsoft Way Redmond, WA 98052

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786Text Retrieval Conference / Relevance feedback / Relevance / Precision and recall / Query expansion / Information science / Information retrieval / Science

Overview of the TREC 2004 Robust Retrieval Track Ellen M. Voorhees National Institute of Standards and Technology Gaithersburg, MDAbstract The robust retrieval track explores methods for improving the consistency

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787Algebra / Natural language processing / Numerical linear algebra / Computational linguistics / Linear algebra / Automatic summarization / QR decomposition / Precision and recall / QR algorithm / Information science / Science / Information retrieval

From TREC to DUC to TREC Again John M. Conroy∗, Daniel M. Dunlavy†, Dianne P. O’Leary‡,

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788Computational linguistics / Natural language processing / Linguistics / Text Retrieval Conference / Question answering / Yahoo! Answers / Question / Anaphora / Yes and no / Science / Information science / Information retrieval

QACTIS-based Question Answering at TREC-2005 P. Schone, G. Ciany*, R. Cutts❂, P. McNamee✝, J. Mayfield✝, Tom Smith✝ U.S. Department of Defense Ft. George G. Meade, MDABSTRACT

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789Computational linguistics / Lexical semantics / Information / Knowledge representation / Natural language processing / WordNet / Word-sense disambiguation / Concept / Hyponymy / Linguistics / Science / Semantics

A Conceptual Indexing Approach for the TREC Robust Task

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790Text Retrieval Conference / TREC Genomics / Document retrieval / Search engine indexing / WordNet / Information science / Information retrieval / Science

ASU at TREC 2006 Genomics Track Luis Tari, Graciela Gonzalez, Robert Leaman, Shawn Nikkila, Ryan Wendt, Chitta Baral Department of Computer Science and Engineering, Arizona State University Abstract

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