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Noah A. Smith: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Noah A. Smith, Jason Eisner
    Annealing Techniques For Unsupervised Statistical Language Learning. [Citation Graph (0, 0)][DBLP]
    ACL, 2004, pp:486-493 [Conf]
  2. Noah A. Smith, Jason Eisner
    Contrastive Estimation: Training Log-Linear Models on Unlabeled Data. [Citation Graph (0, 0)][DBLP]
    ACL, 2005, pp:- [Conf]
  3. Noah A. Smith, Jason Eisner
    Annealing Structural Bias in Multilingual Weighted Grammar Induction. [Citation Graph (0, 0)][DBLP]
    ACL, 2006, pp:- [Conf]
  4. Noah A. Smith, David A. Smith, Roy W. Tromble
    Context-Based Morphological Disambiguation with Random Fields. [Citation Graph (0, 0)][DBLP]
    HLT/EMNLP, 2005, pp:- [Conf]
  5. Jason Eisner, Eric Goldlust, Noah A. Smith
    Compiling Comp Ling: Weighted Dynamic Programming and the Dyna Language. [Citation Graph (0, 0)][DBLP]
    HLT/EMNLP, 2005, pp:- [Conf]
  6. Philip Resnik, Noah A. Smith
    The Web as a Parallel Corpus. [Citation Graph (0, 0)][DBLP]
    Computational Linguistics, 2003, v:29, n:3, pp:349-380 [Journal]

  7. Computationally Efficient M-Estimation of Log-Linear Structure Models. [Citation Graph (, )][DBLP]


  8. Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings. [Citation Graph (, )][DBLP]


  9. Dynamic Programming Algorithms as Products of Weighted Logic Programs. [Citation Graph (, )][DBLP]


  10. Nonextensive entropic kernels. [Citation Graph (, )][DBLP]


  11. Polyhedral outer approximations with application to natural language parsing. [Citation Graph (, )][DBLP]


  12. Tutorial summary: Structured prediction for natural language processing. [Citation Graph (, )][DBLP]


  13. Relative keyboard input system. [Citation Graph (, )][DBLP]


  14. Predicting Risk from Financial Reports with Regression. [Citation Graph (, )][DBLP]


  15. Preference Grammars: Softening Syntactic Constraints to Improve Statistical Machine Translation. [Citation Graph (, )][DBLP]


  16. Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction. [Citation Graph (, )][DBLP]


  17. Predicting Response to Political Blog Posts with Topic Models. [Citation Graph (, )][DBLP]


  18. Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction. [Citation Graph (, )][DBLP]


  19. Stacking Dependency Parsers. [Citation Graph (, )][DBLP]


  20. Probabilistic Models of Nonprojective Dependency Trees. [Citation Graph (, )][DBLP]


  21. Joint Morphological and Syntactic Disambiguation. [Citation Graph (, )][DBLP]


  22. What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA. [Citation Graph (, )][DBLP]


  23. Feature-Rich Translation by Quasi-Synchronous Lattice Parsing. [Citation Graph (, )][DBLP]


  24. Bilingual Parsing with Factored Estimation: Using English to Parse Korean. [Citation Graph (, )][DBLP]


  25. From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences. [Citation Graph (, )][DBLP]


  26. From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series. [Citation Graph (, )][DBLP]


  27. What's Worthy of Comment? Content and Comment Volume in Political Blogs. [Citation Graph (, )][DBLP]


  28. Weighted and Probabilistic Context-Free Grammars Are Equally Expressive. [Citation Graph (, )][DBLP]


  29. Computational Approaches to Morphology and Syntax Brian Roark and Richard Sproat (Oregon Health and Science University and University of Illinois at Urbana-Champaign) Oxford: Oxford University Press (Oxford surveys in syntax and morphology, edited [Citation Graph (, )][DBLP]


  30. Products of Weighted Logic Programs [Citation Graph (, )][DBLP]


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