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» Fine-Grained Entity Recognition
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EMNLP
2009
14 years 7 months ago
Domain adaptive bootstrapping for named entity recognition
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
Dan Wu, Wee Sun Lee, Nan Ye, Hai Leong Chieu
103
Voted
EMNLP
2011
13 years 9 months ago
Named Entity Recognition in Tweets: An Experimental Study
People tweet more than 100 Million times daily, yielding a noisy, informal, but sometimes informative corpus of 140-character messages that mirrors the zeitgeist in an unprecedent...
Alan Ritter, Sam Clark, Mausam, Oren Etzioni
EMNLP
2007
14 years 11 months ago
Exploiting Wikipedia as External Knowledge for Named Entity Recognition
We explore the use of Wikipedia as external knowledge to improve named entity recognition (NER). Our method retrieves the corresponding Wikipedia entry for each candidate word seq...
Jun'ichi Kazama, Kentaro Torisawa
ACL
2010
14 years 7 months ago
Arabic Named Entity Recognition: Using Features Extracted from Noisy Data
Building an accurate Named Entity Recognition (NER) system for languages with complex morphology is a challenging task. In this paper, we present research that explores the featur...
Yassine Benajiba, Imed Zitouni, Mona T. Diab, Paol...
96
Voted
NLDB
2005
Springer
15 years 3 months ago
Named Entity Recognition for Web Content Filtering
Effective Web content filtering is a necessity in educational and workplace environments, but current approaches are far from perfect. We discuss a model for text-based intellige...
José María Gómez Hidalgo, Fra...