Department of Computer Science

Machine Learning Research Group

University of Texas at Austin Artificial Intelligence Lab

Publications: 2011

  1. Constraint Propagation for Efficient Inference in Markov Logic
    [Details] [PDF] [Slides]
    Tivadar Papai, Parag Singla and Henry Kautz
    In Proceedings of 17th International Conference on Principles and Practice of Constraint Programming (CP 2011), Lecture Notes in Computer Science (LNCS), 691-705, September 2011.
  2. Online Structure Learning for Markov Logic Networks
    [Details] [PDF] [Slides]
    Tuyen N. Huynh and Raymond J. Mooney
    In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2011), 81-96, September 2011.
  3. Abductive Plan Recognition by Extending Bayesian Logic Programs
    [Details] [PDF] [Slides]
    Sindhu Raghavan, Raymond J. Mooney
    In Proceedings of the European Conference on Machine Learning/Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2011), 629-644, September 2011.
  4. Building a Persistent Workforce on Mechanical Turk for Multilingual Data Collection
    [Details] [PDF] [Slides]
    David L. Chen and William B. Dolan
    In Proceedings of The 3rd Human Computation Workshop (HCOMP 2011), August 2011.
  5. Learning to Interpret Natural Language Navigation Instructions from Observations
    [Details] [PDF] [Slides]
    David L. Chen and Raymond J. Mooney
    In Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI-2011), 859-865, August 2011.
  6. Abductive Markov Logic for Plan Recognition
    [Details] [PDF] [Slides]
    Parag Singla and Raymond J. Mooney
    In Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI-2011), 1069-1075, August 2011.
  7. Cross-Cutting Models of Lexical Semantics
    [Details] [PDF] [Slides]
    Joseph Reisinger and Raymond Mooney
    In Proceedings of The Conference on Empirical Methods in Natural Language Processing (EMNLP 2011), 1405-1415, July 2011.
  8. Panning for Gold: Finding Relevant Semantic Content for Grounded Language Learning
    [Details] [PDF] [Slides]
    David L. Chen and Raymond J. Mooney
    In Proceedings of Symposium on Machine Learning in Speech and Language Processing (MLSLP 2011), June 2011.
  9. Fine-Grained Class Label Markup of Search Queries
    [Details] [PDF]
    Joseph Reisinger and Marius Pasca
    In Proceedings of The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT 2011), 1200-1209, June 2011.
  10. Collecting Highly Parallel Data for Paraphrase Evaluation
    [Details] [PDF] [Slides]
    David L. Chen and William B. Dolan
    In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, 190-200, Portland, Oregon, USA, June 2011.
  11. Extending Bayesian Logic Programs for Plan Recognition and Machine Reading
    [Details] [PDF] [Slides]
    Sindhu V. Raghavan
    Technical Report, PhD proposal, Department of Computer Science, The University of Texas at Austin, May 2011.
  12. Improving the Accuracy and Scalability of Discriminative Learning Methods for Markov Logic Networks
    [Details] [PDF] [Slides]
    Tuyen N. Huynh
    PhD Thesis, Department of Computer Science, University of Texas at Austin, May 2011.
    159 pages.
  13. Online Max-Margin Weight Learning for Markov Logic Networks
    [Details] [PDF] [Slides]
    Tuyen N. Huynh and Raymond J. Mooney
    In Proceedings of the Eleventh SIAM International Conference on Data Mining (SDM11), 642--651, Mesa, Arizona, USA, April 2011.
  14. Implementing Weighted Abduction in Markov Logic
    [Details] [PDF]
    James Blythe, Jerry R. Hobbs, Pedro Domingos, Rohit J. Kate, Raymond J. Mooney
    In Proceedings of the International Conference on Computational Semantics, 55--64, Oxford, England, January 2011.
  15. Integrating Logical Representations with Probabilistic Information using Markov Logic
    [Details] [PDF] [Slides]
    Dan Garrette, Katrin Erk, Raymond Mooney
    In Proceedings of the International Conference on Computational Semantics, 105--114, Oxford, England, January 2011.