技术教程 Maximum Entropy Markov Models for Information Extraction and Segmentation 正文

Maximum Entropy Markov Models for Information Extraction and Segmentation

2022-10-15,,,,

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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