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Natural language processing / Computational linguistics / Markup languages / Speech recognition / Artificial intelligence / Information extraction / Record linkage / Coreference / General Architecture for Text Engineering / Science / Information science / Linguistics


Cross-Document Coreference Resolution: A Key Technology for Learning by Reading James Mayfield1, David Alexander1, Bonnie Dorr1, Jason Eisner1, Tamer Elsayed1, Tim Finin1, Clay Fink1, Marjorie Freedman1, Nikesh Garera1,
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Document Date: 2009-02-02 10:17:09


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City

Reading / Wikitology / Baltimore / /

Company

Google / Reuters / AAAI Press / Exploiting Lexical & Encyclopedic Resources / /

Facility

By building / University of Maryland / /

IndustryTerm

multi-document processing / online collaborative filtering / important technology / Web Conference / web people disambiguation / Internet search engine / coreference systems / learning algorithms / /

Organization

University of Maryland / Baltimore County / Association for the Advancement / Center of Excellence / Association for Computational Linguistics / /

Person

Galileo Namata / Julio Gonzalo / Zareen Syed / Ariel Sharon / Christine Piatko / Thorsten Joachims / Tamer Elsayed / Douglas W. Oard / George Bush / Colin Powell / Javier Artiles / Tim Finin / James Mayfield / Anupam Joshi / Jimmy Lin / Barack Obama / Paul McNamee / Satoshi Sekine / Sharon Osbourne / /

Position

attorney / Official / king / president / lawyer / /

ProvinceOrState

Maryland / Baltimore County / /

PublishedMedium

Computational Linguistics / Machine Learning / Communications of the ACM / /

Technology

important technology / artificial intelligence / key technology / 1 Human Language Technology / search engine / machine learning / html / ranking algorithm / /

URL

www.nist.gov/speech/tests/ace/2008/doc/ace08_eval_offici / www.macquarieonline.com.au/thesaurus.html / hadoop.apache.org / www.aaai.org / www.clsp.jhu.edu/ws2007/groups/elerfed / www.nist.gov/speech/tests/ace / /

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