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Conditional random field / Hidden Markov model / Markov chain / Gibbs sampling / Markov random field / N-gram / Markov property / Viterbi algorithm / Sequence labeling / Markov models / Statistics / Probability


Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling Jenny Rose Finkel, Trond Grenager, and Christopher Manning
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Document Date: 2005-05-10 03:35:05


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City

San Francisco / Edmonton / Springer-Verlag / San Diego / Volgograd / /

Company

CRFs / Probabilistic Networks / Tanjug / Information Extraction Systems / Expert Systems / Reuters / /

Country

Jordan / Canada / China / /

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Event

Company Expansion / /

Facility

Carnegie Mellon University / New York University / /

IndustryTerm

linear chain / unstable algorithms / entity recognition systems / dynamic programming algorithm / statistical natural language processing models / clever solution / well-founded algorithm / approximate solution / natural language processing / approximate inference algorithms / /

Organization

New York University / Stanford University Stanford / Carnegie Mellon University / Pattern Analysis and Machine Intelligence / /

Person

J. Van Laarhoven / Geoff Woods / Christopher Manning / R. G. Cowell / Della Pietra / Forward Backward / Morgan Kaufmann / C. Sutton / F. Pereira / D. J. Spiegelhalter / V. Della Pietra / S. Della Pietra / V / Jenny Rose Finkel / A. McCallum / J. Lafferty / A. Philip Dawid / S. L. Lauritzen / /

Position

speaker / also labeled speaker / /

Product

Viterbi / /

ProvinceOrState

New York / California / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Computational Linguistics / Machine Learning / The China Daily / /

Technology

speech recognition / Viterbi algorithm / approximate inference algorithms / Monte Carlo algorithm / machine learning / Clique Calibration algorithms / inherently unstable algorithms / natural language processing / artificial intelligence / probabilistically well-founded algorithm / dynamic programming algorithm / /

URL

http /

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