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142
Voted
NLPRS
2001
Springer
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Natural Language Processing
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NLPRS 2001
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A Maximum Entropy Tagger with Unsupervised Hidden Markov Models
15 years 7 months ago
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mastarpj.nict.go.jp
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
Jun'ichi Kazama, Yusuke Miyao, Jun-ichi Tsujii
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