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Natural language processing / Computational linguistics / Question answering / Document retrieval / Search engine indexing / Precision and recall / Dragomir R. Radev / Relevance / Subject / Information science / Information retrieval / Science


TREC9 QA-Track Notebook Paper, NIST, Gaithersburg MD, One Search Engine or Two for Question-Answering John Prager, Eric Brown IBM T.J. Watson Research Center Yorktown Heights, N.Y
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Document Date: 2001-02-20 14:58:10

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File Size: 47,85 KB

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City

Seattle / Ithaca / Washington / DC / Athens / Pittsburgh / Klagenfurt / Gaithersburg / Englewood Cliffs / /

Company

IBM / D. Hindle D.D. / AT&T / Prentice-Hall Inc. / Information Systems / /

Country

France / Austria / Greece / /

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Facility

Krzysztof Czuba1 Carnegie-Mellon University / Dragomir R. Radev University of Michigan Ann Arbor / Cornell University / /

IndustryTerm

subsequent processing / machine-learning algorithm / question processing / search engines / individual systems / search-engine score / search engine comparison / search engine / pre-processing / text processing / text-processing field / /

MarketIndex

SET / /

Organization

Cornell / idf / Dragomir R. Radev University of Michigan Ann Arbor / Cornell University / Krzysztof Czuba1 Carnegie-Mellon University Pittsburgh / /

Person

John Prager / Eric Brown / Guru / Ken Litkowski / /

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Position

judge / /

Product

WordNet / Answer Selection module / Answer / /

ProgrammingLanguage

R / /

ProvinceOrState

New Jersey / Maryland / New York / Washington / Pennsylvania / /

PublishedMedium

Communications of the ACM / /

Technology

machine-learning algorithm / Search Engine / Natural Language Processing / /

URL

http /

SocialTag