June 2013 BENELEARN, Nijmegen With thanks to: Collaborators: Ming-Wei Chang, Gourab Kundu, Lev Ratinov, Rajhans Samdani, Vivek Srikumar, Many others Funding:
May 2013 KU Leuven, Belguim With thanks to: Collaborators: Ming-Wei Chang, Gourab Kundu, Lev Ratinov, Rajhans Samdani, Vivek Srikumar, Many others Funding:
June 2013 SLG Workshop, ICML, Atlanta GA Decomposing Structured Prediction via Constrained Conditional Models Dan Roth Department of Computer Science University.
Page 1 CS 546 Machine Learning in NLP Structured Prediction: Theories and Applications to Natural Language Processing Dan Roth Department of Computer Science.
1 Knowledge Representation and Inference Models for Textual Entailment Dan Roth University of Illinois Urbana-Champaign with Rodrigo Braz, Roxana Girju,
Page 1 Learning and Global Inference for Information Access and Natural Language Understanding Dan Roth Department of Computer Science University of Illinois.
Page 1 February 2008 University of Edinburgh With thanks to: Collaborators: Ming-Wei Chang, Vasin Punyakanok, Lev Ratinov, Nick Rizzolo, Mark Sammons,
Page 1 March 2009 Brigham Young University With thanks to: Collaborators: Ming-Wei Chang, Vasin Punyakanok, Lev Ratinov, Nick Rizzolo, Mark Sammons, Scott.
Page 1 March 2009 EACL Constrained Conditional Models for Natural Language Processing Ming-Wei Chang, Lev Ratinov, Dan Roth Department of Computer Science.
April 2014 European ACL, Gothenburg, Sweden With thanks to: Collaborators: Ming-Wei Chang, Dan Goldwasser, Gourab Kundu, Lev Ratinov, Vivek Srikumar; Scott.
Constrained Conditional Models Learning and Inference in Natural Language Understanding
June 2013 Inferning Workshop, ICML, Atlanta GA Amortized Integer Linear Programming Inference Dan Roth Department of Computer Science University of Illinois.
