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Abstract: This thesis describes a novel statistical named-entity (i.e. \proper name") recognition system known as \MENE" (Maximum Entropy Named Entity). Named entity (N.E.) recognition is a form of information extraction in which we seek to classify every word in a document as being a person-name, organization, location, date, time, monetary value, percentage, or \none of the above". The task has particular signi cance for Internet search engines, machine translation, the automatic indexing of... (Update)
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BibTeX entry: (Update)
Borthwick,A. A Maximum Entropy Approach to Named Entity Recognition. Ph.D. Thesis. New York University. September, 1999. http://citeseer.ist.psu.edu/borthwick99maximum.html More
@misc{ borthwick99maximum,
author = "A. Borthwick",
title = "A Maximum Entropy Approach to Named Entity Recognition",
text = "Borthwick,A. A Maximum Entropy Approach to Named Entity Recognition. Ph.D.
Thesis. New York University. September, 1999.",
year = "1999",
url = "citeseer.ist.psu.edu/borthwick99maximum.html" }
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29 Exploiting diverse knowledge sources via maximum entropy in .. - Borthwick, Sterling et al. - 1998
19 The NYU system for MUC-6 or where's the syntax - Grishman - 1995
18 NYU: Description of the MENE named entity system as used in .. - Borthwick, Sterling et al. - 1998
13 Named entity extraction from broadcast news - Miller, Schwartz et al. - 1999
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2 Fast computation maximum entropyminimum divergence model fea.. (context) - computation, entropy et al. - 1998
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2 Personal communication from Satoshi Sekine (context) - Sekine - 1998
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1 Electronic version of the standard available at http://www (context) - ISO, standard - 1997
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