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Shallow Parsing with Conditional Random Fields (2003)

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by Fei Sha , Fernando Pereira
Citations:579 - 8 self
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Citations

3482 Conditional random fields: Probabilistic models for segmenting and labeling sequence data - Lafferty, McCallum, et al. - 2001
3308 Numerical Optimization - Nocedal, Wright - 1999
1365 A maximum entropy approach to natural language processing - Berger, Pietra, et al. - 1996
924 Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging - Brill - 1995
670 Inducing features of random fields - Pietra, Pietra, et al. - 1997
580 A maximum entropy model for part-of-speech tagging,” - Ratnaparkhi - 1996
523 Text chunking using transformation-based learning. - Ramshaw, Marcus - 1995
511 Generalized iterative scaling for log-linear models. - Darroch, Ratcliff - 1972
481 An Introduction to Conjugate Gradient Methods without the Agonizing Pain http://www.cs.cmu.edu/∼quake-papers/painlessconjugate-gradient.pdf - Shewchuk - 1994
415 Discriminative probabilistic models for relational data - Taskar, Abbeel, et al. - 2002
410 Parsing by chunks - Abney - 1990
371 An algorithm that learns what’s in a name - Bikel, Schwartz, et al. - 1999
290 A comparison of algorithms for maximum entropy parameter estimation. - Malouf - 2002
277 New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron - Collins - 2002
253 A gaussian prior for smoothing maximum entropy models (Tech. - Chen, Rosenfeld - 1999
242 Robust part-of-speech tagging using a hidden Markov model - Kupiec - 1992
180 Introduction to the conll-2000 shared task: chunking. - Sang, F, et al. - 2000
173 Markov Fields on Finite Graphs and Lattices. Unpublished Manuscript. - Hammersley, Clifford - 1968
171 A linear observed time statistical parser based on maximum entropy models - Ratnaparkhi - 1997
142 Parsing the Wall Street Journal using a Lexical-Functional Grammar and discriminative estimation techniques. - Riezler, King, et al. - 2002
130 Information extraction with HMM structures learned by stochastic optimization - Freitag, McCallum
111 The use of classifiers in sequential inference. - Punyakanok, Roth - 2001
73 Boosting Applied to Tagging and PPattachment. - Abney, Schapire, et al. - 1999
69 Efficient training of conditional random fields - Wallach - 2002
59 Algorithms for maximum-likelihood logistic regression - Minka - 2001
59 More accurate tests for the statistical significance of result differences. - Yeh - 2000
24 Dynamic programming for parsing and estimation of stochastic unification-based grammars. - Geman, Johnson - 2002
23 Memory-based shallow parsing - Sang - 2003
5 Some statistical issues in the compairson of speech recognition algorithms - Gillick, Cox - 1989
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