Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms

Explore this paper's citation graph

Summary

Experimental results on part-of-speech tagging and base noun phrase chunking are given, in both cases showing improvements over results for a maximum-entropy tagger.

Type
article
Published
2002-07-06
Cited by
2,303
References
15
Access
Open access

Keywords

Maximum-entropy Markov model, Computer science, Discriminative model, Hidden Markov model, Conditional random field

References

Cited by

Related papers