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.
l2r.cs.uiuc.edu
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.
1 CS598 DNR FALL 2005 Machine Learning in Natural Language Dan Roth University of Illinois, Urbana-Champaign [email protected] danr.
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.
1 CS546 Spring 2009 Machine Learning in Natural Language Introduction: Part 2 Linguistics Essentials (The role of Linguistics in NLP)
Page 1 March 2009 EACL Constrained Conditional Models for Natural Language Processing Ming-Wei Chang, Lev Ratinov, Dan Roth Department of Computer Science.
