Information Extraction with HMM Structures Learned by Stochastic Optimization

  title={Information Extraction with HMM Structures Learned by Stochastic Optimization},
  author={Dayne Freitag and Andrew McCallum},
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction—the task of populating database slots with corresponding phrases from text documents. A remaining problem, however, is the selection of state-transition structure fo the model. This paper demonstrates that extraction accuracy strongly depends on the selection of structure, and present s an algorithm for automatically finding good structures by stochastic optimization. Our algorithm… CONTINUE READING
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