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• Finkel and Manning, EMNLP 2009. Nested Named Entity Recognition
  ...d here is a discriminatively trained, [[UsesMethod::CRF|conditional random field]] based [[CFG]] [[parser]] of [[RelatedPaper::Finkel et al. ACL 2008 | Fink
  4 KB (548 words) - 12:02, 27 October 2011
• Hyejuj project abstract
  * To use Conditional Random Field
  4 KB (637 words) - 04:48, 9 October 2010
• Smith and Eisner 2008:Dependency parsing by belief propagation
  ...mulating the dependency parsing problem as training and decoding on Markov random fields, then discusses the use of [[UsesMethod::Belief Propagation]] to low ...the assignment of all variables can be represented using the Markov random field (MRF).
  8 KB (1,193 words) - 17:15, 13 October 2011
• Reisinger et al 2010: Spherical Topic Models
  ...field'' method to approximately infer the parameters. In variational mean field approach, the true posteriors are another distribution with simpler and fac (3) Variational inference. The variational mean field method in this paper is a very interesting alternative inference method to
  10 KB (1,516 words) - 18:11, 29 November 2011
• Bellare 2009 generalized expectation criteria for bootstrapping extractors using record text alignment
  ...ralized Expectation Criteria]] to train a [[UsesMethod::Conditional Random Field]] model for an IE task. In a setting where there exists a database, the aut
  6 KB (926 words) - 13:09, 2 November 2011
• Structured Prediction Cascades
  ...), structured cascades using a markov model (SC), and a conditional random field (CRF), and a heuristic baseline in which only POS tags associated with a gi
  6 KB (1,013 words) - 21:55, 5 October 2011
• Accurate Unlexicalized Parsing
  * [[RelatedPaper::Efficient, Feature-based, Conditional Random Field Parsing, J. R. Finkel, A. Kleeman, and C. D. Manning, ACL 2008]] - Another
  7 KB (971 words) - 20:58, 1 November 2011

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