Workshop 3: Schedule
Location
The workshop will take place in Amphitheater Schwartz, building 1R3, Université Paul Sabatier (campus de Rangueil). The map of the campus can be downloaded here.
Wednesday, December 9th |
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9:00 - 10:00 | André Martins | Title: Parsing as Reduction |
10:00 - 10:15 |
coffee break | |
10:15 - 11:15 |
Alessandro Moschitti | Title:Efficient Structural Kernels for Natural Language Processing |
11:15 - 12:15 |
Andreas Vlachos |
Title: Imitation learning for structured prediction in NLP |
12:15 - 14:00 | lunch | |
14:00 - 15:00 | Christophe Gonzales | Title: Learning Non-stationary Dynamic Bayesian Networks |
15:00- 15:15 | coffee break | |
15:15 - 16:15 | Hachem Kadri | Title: Kernel Methods for Structured Outputs |
16:15 - 17:15 | Eustasio del Barrio | Title: A contamination model for approximate stochastic order |
Thursday, December 10th |
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9:00 - 10:00 | Xavier Carreras | Title: Low-rank Matrix Learning for Compositional Objects, Strings and Trees |
10:00 - 10:15 |
coffee break | |
10:15 - 11:15 |
Pascal Denis | Title: Learning Latent Trees for Joint Coreference Resolution and Anaphoricity Detection |
11:15 - 12:15 |
Ariadna Quattoni | Title: Hankel Based Methods for Learning Non-Deterministic Automata |
12:15 - 14:00 | lunch | |
14:00 - 15:00 | James Cussens | Title: Integer programming for Bayesian network structure learning |
15:00- 15:15 | coffee break | |
15:15 - 16:15 | Francois Coste | Title: Learning the language of protein sequences |
16:15 - 17:15 | Christine Sinoquet |
Title: Modeling of high-dimensional and spatially correlated data with forest of latent tree models |
17:15 - 18:15 | Jian-Yun Nie | Title: How can NLP help IR? |
Friday, December 11th : Special course |
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9:00 - 10:30 | Alexandre Allauzen | Deep learning part 1 |
10:30- 10:45 |
coffee break | |
10:45 - 12:15 |
Alexandre Allauzen | Deep learning part 2 |
12:15 - 14:00 | lunch | |
14:00 - 16:00 | Alexandre Allauzen | Hands-on computer session: Deep learning |