?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Unsupervised+Named-Entity+Recognition%3A+Generating+Gazetteers+and+Resolving+Ambiguity&rft.creator=Nadeau%2C+David&rft.creator=Turney%2C+Peter+D.&rft.creator=Matwin%2C+Stan&rft.subject=Language&rft.subject=Machine+Learning&rft.subject=Artificial+Intelligence&rft.description=In+this+paper%2C+we+propose+a+named-entity+recognition+(NER)+system+that+addresses+two+major+limitations+frequently+discussed+in+the+field.+First%2C+the+system+requires+no+human+intervention+such+as+manually+labeling+training+data+or+creating+gazetteers.+Second%2C+the+system+can+handle+more+than+the+three+classical+named-entity+types+(person%2C+location%2C+and+organization).+We+describe+the+system%E2%80%99s+architecture+and+compare+its+performance+with+a+supervised+system.+We+experimentally+evaluate+the+system+on+a+standard+corpus%2C+with+the+three+classical+named-entity+types%2C+and+also+on+a+new+corpus%2C+with+a+new+named-entity+type+(car+brands).&rft.date=2006&rft.type=Conference+Poster&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F5025%2F1%2FNRC-48727.pdf&rft.identifier=++Nadeau%2C+David+and+Turney%2C+Peter+D.+and+Matwin%2C+Stan++(2006)+Unsupervised+Named-Entity+Recognition%3A+Generating+Gazetteers+and+Resolving+Ambiguity.++%5BConference+Poster%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F5025%2F