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Natural language processing / Rubens Barrichello / Williams F1 / Austrian Grand Prix / Language model / Formula One / Auto racing / Information retrieval


NiCT at TREC 2009: Employing Three Models for Entity Ranking Track Youzheng Wu, Hideki Kashioka Spoken Language Communication Group, MASTAR Project National Institute of Information and Communications Technology (NiCT)
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Document Date: 2010-01-19 12:39:28

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City

Kyoto / Amsterdam / Washington / /

Company

BMW / Google / Honda / Yunbo / Formula One / /

Country

Netherlands / Japan / Jordan / United States / /

Currency

pence / /

/

Event

Product Issues / Product Recall / /

Facility

MASTAR Project National Institute of Information / /

IndustryTerm

expert search tracks / Web page e1 e2 / named entity recognition tool / search engine retrieving web pages / Web Page Retrieval / search engine / /

Movie

Rookie of the Year / /

Organization

Communications Technology / IDF / MASTAR Project National Institute of Information / MASTAR Project National Institute of Information and Communications Technology / /

Person

Rubens Barrichello / James A. Thom / Leif Azzopardi / Damon Hill / Jen Lin / Michael Schumacher / Anne-Marie Vercoustre / Ruby C. Weng / Bertrand Gachot / Ting-Fan Wu / Jun Xu / Jacques Villeneuve / Tao Tao / Jovan Pehcevski / Jenson Button / Yan Liu / Michael Schumacher entity / /

Position

Driver / Cao / /

Product

entity extraction / Ranking SVM / /

ProgrammingLanguage

php / /

ProvinceOrState

Washington / /

PublishedMedium

Journal of Machine Learning Research / /

RadioStation

With 11 / /

SportsEvent

Formula 1 / Formula 1 Motor Racing / the 2006 Formula One / Formula One / the 2002 Austrian Grand Prix / /

Technology

php / search engine / Machine Learning / proposed algorithm / http / /

URL

http /

SocialTag