Conditional random fields: An introduction

Conditional random fields: An introduction (2004)

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by Hanna M. Wallach

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@TECHREPORT{Wallach04conditionalrandom,
    author = {Hanna M. Wallach},
    title = {Conditional random fields: An introduction},
    institution = {},
    year = {2004}
}

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7320	Introduction to Algorithms - CORMEN, LEISERSON, et al. - 1985
4407	The Mathematical Theory of Communication - Shannon, Weaver - 1949
3118	A tutorial on hidden Markov models and selected applications in speech recognition - Rabiner - 1989
1548	F: Conditional Random Fields: Probabilistic models for segmenting and labeling sequence data - Lafferty, McCallum, et al. - 2001
1180	Fundamentals of speech recognition - Rabiner - 1993
846	A Maximum Entropy Approach to Natural Language Processing - Berger, Pietra, et al. - 1996
601	Biological Sequence Analysis. Probabilistic Models of Proteins and Nucleic Acids - Durbin, Eddy, et al. - 1998
464	Inducing features of random fields - Pietra, S, et al. - 1997
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356	Generalized Iterative Scaling for Log-Linear Models - Darroch, Ratcliff - 1972
355	Maximum entropy Markov models for information extraction and segmentation - McCallum, Freitag, et al. - 2000
336	F: Shallow parsing with conditional random fields - Sha, Pereira
76	Table extraction using conditional random fields - Pinto, McCallum, et al. - 2003
63	A Simple Introduction to Maximum Entropy Models for Natural Language Processing - Ratnaparkhi - 1997
43	Efficient training of conditional random fields - Wallach - 2002
36	The improved iterative scaling algorithm: A gentle introduction - Berger - 1997
33	Markov random fields in statistics - Clifford
9	Fundamentals of Speech Recognition (Prentice-Hall - Rabiner, Juang - 1993