Active Bibliography

455 Shallow Parsing with Conditional Random Fields – Fei Sha, Fernando Pereira - 2003
579 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
762 Gradient-based learning applied to document recognition – Yann Lecun, Léon Bottou, Yoshua Bengio, Patrick Haffner - 1998
968 Head-Driven Statistical Models for Natural Language Parsing – Michael Collins - 1999
592 A Short Introduction to Boosting – Yoav Freund, Robert E. Schapire - 1999
556 Inducing Features of Random Fields – Stephen Della Pietra, Vincent Della Pietra, John Lafferty - 1997
834 A Maximum-Entropy-Inspired Parser – Eugene Charniak - 1999
499 Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms – Michael Collins - 2002
538 An Efficient Boosting Algorithm for Combining Preferences – Raj Dharmarajan Iyer , Jr. - 1999