Art
J-GLOBAL ID：200902249674698666   Reference number：04A0879535

A Maximum Entropy Tagging Model with Unsupervised Hidden Markov Models

教師なし隠れマルコフモデルを利用した最大エントロピータグ付けモデル
Author (3)：
KAZAMA JUN'ICHI

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(北陸先端科学技術大学院大)

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, 
MIYAO YUSUKE

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(東大 大学院情報理工学系研究科)

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, 
TSUJII JUN'ICHI

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(東大 大学院情報理工学系研究科)

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Material：
自然言語処理  (Journal of Natural Language Processing)

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Volume： 11  Issue： 4  Page： 3-23  Publication year： Oct. 10, 2004 
JST Material Number： L3934A  ISSN： 1340-7619  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)
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*language understanding

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最大エントロピー原理

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JST classification (3)：
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Category name(code) classified by JST.
Natural language processing 
(JE06000L)

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,  Artificial intelligence 
(JE08000Z)

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,  System and control theory in general 
(IA02010H)

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Reference (27)：
  • BAUM, L. E. An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model of ecology. Bull. Amer. Math. Soc. 1967, 73, 360-363
  • BERGER, A. L. A Maximum Entropy Approach to Natural Language Processing. Computational Linguistics. 1996, 22, 1, 39-71
  • BIKEL, D. Nymble : a high-performance learning name-finder. Proceedings of the Fifth Conference on Applied Natural Language processing, 1997. 1997, 194-201
  • BORTHWICK, A. A Maximum Entropy Approach to Named Entity Recognition. Ph. D. Thesis. New York University. 1999
  • BRANTS, T. TnT-A Statistical Part-of-Speech Tagger. Proceedings of the Sixth Applied Natural Language Processing Conference ANLP-2000. 2000
ｍore...
Terms in the title (5)：
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教師

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, 
隠れマルコフモデル

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, 
最大エントロピー

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, 
タグ付け

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, 
モデル

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