Active Bibliography

473 Shallow Parsing with Conditional Random Fields – Fei Sha, Fernando Pereira - 2003
598 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
468 Maximum entropy markov models for information extraction and segmentation – Andrew Mccallum, Dayne Freitag - 2000
473 A Maximum Entropy Model for Part-Of-Speech Tagging – Adwait Ratnaparkhi - 1996
814 Gradient-based learning applied to document recognition – Yann Lecun, Léon Bottou, Yoshua Bengio, Patrick Haffner - 1998
1023 Head-Driven Statistical Models for Natural Language Parsing – Michael Collins - 1999
624 A Short Introduction to Boosting – Yoav Freund, Robert E. Schapire - 1999
517 Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms – Michael Collins - 2002
579 Inducing Features of Random Fields – Stephen Della Pietra, Vincent Della Pietra, John Lafferty - 1997