31 May 2006

ACL papers up

Available here. Some that look especially interesting:

  • A Discriminative Global Training Algorithm for Statistical MT (Tillmann and Zhang)
  • Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling (Jiao, Wang, Lee, Greiner and Schuurmans)
  • An Iterative Implicit Feedback Approach to Personalized Search (Lv, Sun, Zhang, Nie, Chen and Zhang)
  • Training Conditional Random Fields with Multivariate Evaluation Measures (Suzuki, McDermott and Isozaki)
  • Integrating Syntactic Priming into an Incremental Probabilistic Parser, with an Application to Psycholinguistic Modeling (Dubey, Keller and Sturt)
  • Robust PCFG-Based Generation using Automatically Acquired LFG Approximations (Cahill and van Genabith)
  • Exploiting Syntactic Patterns as Clues in Zero-Anaphora Resolution (Iida)
  • An End-to-End Discriminative Approach to Machine Translation (Liang, Bouchard-Cote, Taskar and Klein)

5 comments:

Kevin said...

Liang's paper is very neat--finally, someone has applied structured classification directly to MT!

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