Conditional Random Field (CRF)

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.