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.
July 2015 Cognitum An IJCAI-15 Workshop on Cognitive Knowledge Acquisition and Applications Illinois-Profiler: Knowledge Schemas at Scale Zhiye Fei, Daniel.
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