Dan Roth

Professor Department of Computer Science and The Beckman Institute University of Illinois at Urbana-Champaign

[ Short Bio | Recent Papers | The Cognitive Computation Group| The MIAS Center| Current Research Projects| CV]
[Some Recent Activities: IJCAI 2009 (SPC)|AAAI 2008 (SPC)| NAACL-HLT 2010 (Area Chair)| ICML 2010 (Area Chair)|ACL 2007(Area Chair)| SIGNLL| ACL 2003 (PC Chair)]
[Machine Learning Journal: Special Issue on Machine Learning in Speech and Language Technologies (9/05)| Guest Editors Introduction ]
[Research Summary (old)| SNoW | LBJ | Teaching | Talks | Contact ]
[ Machine Learning at UIUC| Natural Language at UIUC]
[ The Cognitive Computation Group Demo Page ]

Teaching

1. CS446: Machine Learning  (Fall 2009)
2. AIIS Seminar: Artificial Intelligence and Information Systems Seminar 


3. CS591: Seminar on Learning and Knowledge  (Fall 2008)
4. CS546: Machine Learning and Natural Language  (Spring 2009)
5. CS598 DNR: Machine Learning and Natural Language  (Fall 2005)
6. CS173: Discrete Mathematical Structures  (Fall 2003)
7. CS497: Computational Theories of Learning and Reasoning  (Fall 2001)
8. CS397: Computational Theories of Learning and Reasoning  (Fall 1999)

Tutorials

• EACL-2009 The 12th Conference of the European Association of Computation Linguistics. A tutorial on Constrained Conditional Models.  (Given together with Ming-Wei Chang and Lev Ratinov, March 2009, Athens)
  ** Notes by Scott Yih on Setting up Global Inference as Integer Linear Programming
  ** Notes on Work on Constrained Conditional Models in the Cognitive Computation Group
  ** Bibliography on Constrained Conditional Models and Integer Linear Programming Formulations of Global Inference in NLP
• ACL-2007 The 13th Conference of the Association of Computation Linguistics. A tutorial on Textual Entailment.   (Given together with Ido Dagan and Fabio Zanzotto, June 2007, Prague)
• ESSLLI-2001 The 13th European Summer School in Logic, Language. University of Helsinki, Helsinki. A tutorial on Machine Learning: Theory and applications to Natural Language.   (Aug. 2001)

Some Talks

• Computational Linguistics Colloquium, Saarland University and the Max Planck Institute, Saarland, Germany. Constrained Conditional Models: Learning and Inference in Natural Language Understanding.  January 2010.
• NAACL-HLT 2009 Workshop on Integer Linear Programming for Natural Language Processing. Invited talk on Constrained Conditional Models: Learning and Inference for Natural Language Understanding.  (June 2009)
• University of Edinburgh Constrained Conditional Models for Global Learning and Inference  (February 2008)
• The Director's Seminar @ The Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana-Champaign. Natural Language Processing via Global Inference and Learning   (November 2007)
• AAAI-2006, The American Association of Artificial Intelligence. An Invited talk on Global Inference and Learning: Towards Natural Language Understanding   (July 2006) Abstract
• Empirical Modeling of Semantic Equivalence and Entailment (Workshop co-located with ACL-2005). An Invited talk on Knowledge Representation and Inference Models for Textual Entailment   (June 2005)
• BIC'04. An Invited talk on Learning and Inference in Natural Language: from Stand Alone Learning Tasks to Structured Representations   (Nov. 2004) Abstract
• The European Conference on Machine Learning (ECML), 2002. An Invited talk on Reasoning with Classifiers   (Aug. 2002)
• The Conference on Empirical Methods in Natural Langauge Processing (EMNLP), 2002. An Invited talk on Learning and Inference in Natural Language   (July 2002)
• Snowbird'02. A talk on Generalization bounds, projection profile, and margin distribution.   (April 2002)
• NIPS-14 Poster: Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms   (Dec. 2001)
• LLL-ILP invited talk on Natural Language: Relational Learning using Propositional Algorithms. (Sept. 2001)

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