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    NLPRS
    2001
    Springer
    165views Natural Language Processing» more  NLPRS 2001»
    A Maximum Entropy Tagger with Unsupervised Hidden Markov Models
    13 years 9 months ago
    A Maximum Entropy Tagger with Unsupervised Hidden Markov Models
    Download  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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