Conditional Random Field (CRF)

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7. References

  1. The original CRF paper: John Lafferty and Andrew McCallum and Fernando Pereira, Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data, "Proceedings of the International Conference on Machine Learning (ICML-2001)",2001
  2. The code follows notations and algorithm as described in this paper: F. Sha and F. Pereira, Shallow parsing with conditional random fields, "In Proceedings of HLT-NAACL", "2003"
  3. An alternative training method implementation: Michael Collins, Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms.
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