The workshop will be held on Level 5 - room 510 c
| 8:35 - 8:45 | Overview by Organizers |
| 8:45 - 9:15 | Invited Talk - Percy Liang, Stanford | 9:15 - 9:45 | Invited Talk - Andre F.T. Martins, AD3: A Fast Decoder for Structured Prediction, [slides] | 9:45 - 10:30 | Coffee Break (and set up posters) | 10:30 - 11:00 | Invited Talk - Hal Daume III, Learning to be Fast, [slides] | 11:00 - 11:30 | Invited Talk - Jacob Eisenstein, Representation Learning for Discourse Structure, [slides] | 11:30 - 12:00 | Invited Talk - Jennifer Gillenwater, Determinantal Point Processes for NLP, [slides] | 12:00 - 15:00 | Break | 15:00-15:30 | Invited Talk - Phil Blunsom, University of Oxford | 15:30 - 17:20 | Poster Session (coffee break in the middle) | 17:20 - 17:50 | Invited Talk - Sujith Ravi, Scaling up Unsupervised Learning: How to deal with Data, Dimensionality, and Dense Representations | 17:50 - 18:20 | Invited Talk - Noah Smith, Using NLP to Test the Etch-a-Sketch Hypothesis | 18:20 - 18:30 | Organizer Conclusion |