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)