Morning Session : 07:30am-10:30am
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07:30
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Welcome.
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07:40
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Tutorial : A history of discriminative approaches in speech recognition.
Jeff Bilmes
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08:15
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Augmented Statistical Models: Exploiting Generative Models in Discriminative Classifiers.
Martin I. Layton and Mark J. F. Gales
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08:30
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Word Alignment via Quadratic Assignment.
Simon Lacoste-Julien, Ben Taskar, Dan Klein and Michael I. Jordan
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08:45
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Discriminative Training for Automatic Speech Recognition using the Minimum Classification Error framework.
Erik McDermott
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09:00
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Discussion.
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09:15
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Coffee Break.
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09:30
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Phoneme Alignment using Large Margin Techniques.
Joseph Keshet, Shai Shalev-Shwartz and Yoram Singer
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09:45
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Max-Margin Matching for Semantic Role Labeling.
David Vickrey, James Connor and Daphne Koller
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10:00
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Large Margin Gaussian Mixture Modeling for Phonetic Classification and Recognition.
Fei Sha and Lawrence K. Saul
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10:15
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Discussion.
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Afternoon Session : 03:30pm-06:30pm
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03:30pm
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Invited talk : A Hierarchical Phrase-Based Model for Statistical Machine Translation.
David Chiang
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04:15pm
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Coffee Break + Poster Session (See below).
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05:15pm
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Named-Entity Recognition in Novel Domains with External Lexical Knowledge.
Massimiliano Ciaramita and Yasemin Altun
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05:30pm
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Sparse Forward-Backward for Fast Training of Conditional Random Fields.
Charles Sutton, Chris Pal and Andrew McCallum
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05:45pm
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Search-Based Structured Prediction as Classification.
Hal Daumé III, John Langford and Daniel Marcu
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06:00pm
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Discussion.
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Posters Session : 04:15pm-05:15pm
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A Generative Modeling Framework for Structured Hidden Speech Dynamics.
Li Deng, Dong Yu and Alex Acero
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Structured Multi-label Transductive Learning: a Case Study in Lexicon Acquisition.
Kevin Duh and Katrin Kirchhoff
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Multi-Conditional Learning for Joint Probability Models with Latent Variables.
Chris Pal, Xuerui Wang, Michael Kelm and Andrew McCallum
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Efficient graphical models for sequence segmentation.
Sunita Sarawagi
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Statistical spoken language understanding: from generative model to conditional model.
Ye-Yi Wang, John Lee, Milind Mahajan and Alex Acero
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Convex Hidden Markov Models.
Linli Xu and Dale Schuurmans
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