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Maximum Entropy Markov Models for Information Extraction and Segmentation

时间:2014-07-31 20:43:27      阅读:291      评论:0      收藏:0      [点我收藏+]

1.The use of state-observation transition functions rather than the separate transition and observation functions in HMMs allows us to model transitions in terms of multiple, nonindependent features of observations, which we believe to be the most valuable contribution of the present work.

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Maximum Entropy Markov Models for Information Extraction and Segmentation

原文:http://www.cnblogs.com/kevinGaoblog/p/3881525.html

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