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Knowledge / Natural language processing / Information retrieval / Artificial intelligence applications / Question answering / Data collection / QA / Question / Yes and no / Science / Computational linguistics / Information science


Supervised approach to recognize question type in a QA system for Health Sarah CRUCHET, Arnaud GAUDINAT, Célia BOYER Health On the Net Foundation, Geneva, Switzerland Abstract
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Document Date: 2008-05-23 08:07:31

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File Size: 69,89 KB

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City

Geneva / Ottawa / /

Country

United States / Canada / /

Facility

University of Toronto / /

IndustryTerm

semantic network / Web documents / ontology server / automatic tools / Evolution Physiology Prevention Routine Symptoms Treatment / usual search engine / healthcare / search engines / Internet places / /

MarketIndex

SET 100 / /

MusicGroup

Final / /

Organization

Vol.29 / Net Foundation / Knowledge Organization / Department of Computer Science / University of Toronto / Stanford / /

Position

representative / software Rapid Miner / model for the medical types / /

Technology

search engine / Natural Language Processing / machine learning / five algorithms / two algorithms / /

URL

http /

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