Representing Meaning with a Combination of Logical and Distributional Models | 2016 |

I. Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, and Raymond J. Mooney, *The special issue of Computational Linguistics on Formal Distributional Semantics*, Vol. 42, 4 (2016). |

On the Proper Treatment of Quantifiers in Probabilistic Logic Semantics | 2015 |

I. Beltagy and Katrin Erk, In *Proceedings of the 11th International Conference on Computational Semantics (IWCS-2015)*, London, UK, April 2015. |

Efficient Markov Logic Inference for Natural Language Semantics | 2014 |

I. Beltagy and Raymond J. Mooney, In *Proceedings of the Fourth International Workshop on Statistical Relational AI at AAAI (StarAI-2014)*, pp. 9--14, Quebec City, Canada, July 2014. |

Natural Language Semantics using Probabilistic Logic | 2014 |

I. Beltagy, PhD proposal, Department of Computer Science, The University of Texas at Austin. |

Plan Recognition Using Statistical Relational Models | 2014 |

Sindhu Raghavan, Parag Singla, and Raymond J. Mooney, In *Plan, Activity, and Intent Recognition: Theory and Practice*, Sukthankar, G. and Geib, C. and Bui, H.H. and Pynadath, D. and Goldman, R.P. (Eds.), pp. 57--85, Burlington, MA 2014. Morgan Kauf... |

Probabilistic Soft Logic for Semantic Textual Similarity | 2014 |

I. Beltagy, Katrin Erk, and Raymond J. Mooney, In *Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-14)*, pp. 1210--1219, Baltimore, MD 2014. |

Semantic Parsing using Distributional Semantics and Probabilistic Logic | 2014 |

I. Beltagy, Katrin Erk, and Raymond Mooney, In *Proceedings of ACL 2014 Workshop on Semantic Parsing (SP-2014)*, pp. 7--11, Baltimore, MD, June 2014. |

University of Texas at Austin KBP 2014 Slot Filling System: Bayesian Logic Programs for Textual Inference | 2014 |

Yinon Bentor, Vidhoon Viswanathan, and Raymond Mooney , In *Proceedings of the Seventh Text Analysis Conference: Knowledge Base Population (TAC 2014)* 2014. |

UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic | 2014 |

I. Beltagy, Stephen Roller, Gemma Boleda, and Katrin Erk, and Raymond J. Mooney, In *The 8th Workshop on Semantic Evaluation (SemEval-2014)*, pp. 796--801, Dublin, Ireland, August 2014. |

A Formal Approach to Linking Logical Form and Vector-Space Lexical Semantics | 2013 |

Dan Garrette, Katrin Erk, Raymond J. Mooney, In *Computing Meaning*, Harry Bunt, Johan Bos, and Stephen Pulman (Eds.), Vol. 4, pp. 27--48, Berlin 2013. Springer. |

Montague Meets Markov: Deep Semantics with Probabilistic Logical Form | 2013 |

I. Beltagy, Cuong Chau, Gemma Boleda, Dan Garrette, Katrin Erk, Raymond Mooney, *Proceedings of the Second Joint Conference on Lexical and Computational Semantics (*Sem-2013)* (2013), pp. 11--21. |

Online Inference-Rule Learning from Natural-Language Extractions | 2013 |

Sindhu Raghavan and Raymond J. Mooney, In *Proceedings of the 3rd Statistical Relational AI (StaRAI-13) workshop at AAAI '13*, July 2013. |

Bayesian Logic Programs for Plan Recognition and Machine Reading | 2012 |

Sindhu Raghavan, PhD Thesis, Department of Computer Science, University of Texas at Austin. 170. |

Learning to "Read Between the Lines" using Bayesian Logic Programs | 2012 |

Sindhu Raghavan, Raymond J. Mooney, and Hyeonseo Ku, *Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL-2012)* (2012), pp. 349--358. |

Abductive Markov Logic for Plan Recognition | 2011 |

Parag Singla and Raymond J. Mooney, *Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI-2011)* (2011), pp. 1069-1075. |

Abductive Plan Recognition by Extending Bayesian Logic Programs | 2011 |

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)*, Vol. 2, pp. 629-644, September 2011. |

Constraint Propagation for Efficient Inference in Markov Logic | 2011 |

Tivadar Papai, Parag Singla and Henry Kautz, In *Proceedings of 17th International Conference on Principles and Practice of Constraint Programming (CP 2011)*, 6876, pp. 691-705, September 2011. |

Extending Bayesian Logic Programs for Plan Recognition and Machine Reading | 2011 |

Sindhu V. Raghavan, Technical Report, PhD proposal, Department of Computer Science, The University of Texas at Austin. |

Implementing Weighted Abduction in Markov Logic | 2011 |

James Blythe, Jerry R. Hobbs, Pedro Domingos, Rohit J. Kate, Raymond J. Mooney, In *Proceedings of the International Conference on Computational Semantics*, pp. 55--64, Oxford, England, January 2011. |

Improving the Accuracy and Scalability of Discriminative Learning Methods for Markov Logic Networks | 2011 |

Tuyen N. Huynh, PhD Thesis, Department of Computer Science, University of Texas at Austin. 159 pages. |

Integrating Logical Representations with Probabilistic Information using Markov Logic | 2011 |

Dan Garrette, Katrin Erk, Raymond Mooney, In *Proceedings of the International Conference on Computational Semantics*, pp. 105--114, Oxford, England, January 2011. |

Online Max-Margin Weight Learning for Markov Logic Networks | 2011 |

Tuyen N. Huynh and Raymond J. Mooney, In *Proceedings of the Eleventh SIAM International Conference on Data Mining (SDM11)*, pp. 642--651, Mesa, Arizona, USA, April 2011. |

Online Structure Learning for Markov Logic Networks | 2011 |

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)*, Vol. 2, pp. 81-96, September 2011. |

Bayesian Abductive Logic Programs | 2010 |

Sindhu Raghavan and Raymond Mooney, In *Proceedings of the AAAI-10 Workshop on Statistical Relational AI (Star-AI 10)*, pp. 82--87, Atlanta, GA, July 2010. |

Online Max-Margin Weight Learning with Markov Logic Networks | 2010 |

Tuyen N. Huynh and Raymond J. Mooney, In *Proceedings of the AAAI-10 Workshop on Statistical Relational AI (Star-AI 10)*, pp. 32--37, Atlanta, GA, July 2010. |

Discriminative Learning with Markov Logic Networks | 2009 |

Tuyen N. Huynh, unpublished. Ph.D. proposal, Department of Computer Sciences, University of Texas at Austin. |

Learning to Disambiguate Search Queries from Short Sessions | 2009 |

Lilyana Mihalkova and Raymond Mooney, In *Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Part 2*, pp. 111--127, Bled, Slovenia, September 2009. |

Learning with Markov Logic Networks: Transfer Learning, Structure Learning, and an Application to Web Query Disambiguation | 2009 |

Lilyana Mihalkova, PhD Thesis, Department of Computer Sciences, University of Texas at Austin. 176 pages. |

Max-Margin Weight Learning for Markov Logic Networks | 2009 |

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), Part 1*, pp. 564--579, Bled, Slovenia, September 2009. |

Max-Margin Weight Learning for Markov Logic Networks | 2009 |

Tuyen N. Huynh and Raymond J. Mooney, In *Proceedings of the International Workshop on Statistical Relational Learning (SRL-09)*, Leuven, Belgium, July 2009. |

Probabilistic Abduction using Markov Logic Networks | 2009 |

Rohit J. Kate and Raymond J. Mooney, In *Proceedings of the IJCAI-09 Workshop on Plan, Activity, and Intent Recognition (PAIR-09)*, Pasadena, CA, July 2009. |

Speeding up Inference In Statistical Relational Learning by Clustering Similar Query Literals | 2009 |

Lilyana Mihalkova and Matthew Richardson, In *Proceedings of the 19th International Conference on Inductive Logic Programming (ILP-09)*, Leuven, Belgium, July 2009. |

Transfer Learning from Minimal Target Data by Mapping across Relational Domains | 2009 |

Lilyana Mihalkova and Raymond Mooney, In *Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI-09)*, pp. 1163--1168, Pasadena, CA, July 2009. |

Discriminative Structure and Parameter Learning for Markov Logic Networks | 2008 |

Tuyen N. Huynh and Raymond J. Mooney, In *Proceedings of the 25th International Conference on Machine Learning (ICML)*, Helsinki, Finland, July 2008. |

Search Query Disambiguation from Short Sessions | 2008 |

Lilyana Mihalkova and Raymond Mooney, In *Beyond Search: Computational Intelligence for the Web Workshop at NIPS* 2008. |

Transfer Learning by Mapping with Minimal Target Data | 2008 |

Lilyana Mihalkova and Raymond J. Mooney, *Proceedings of the AAAI-08 Workshop on Transfer Learning For Complex Tasks* (2008). |

Bottom-Up Learning of Markov Logic Network Structure | 2007 |

Lilyana Mihalkova and Raymond J. Mooney, In *Proceedings of 24th International Conference on Machine Learning (ICML-2007)*, Corvallis, OR, June 2007. |

Improving Learning of Markov Logic Networks using Transfer and Bottom-Up Induction | 2007 |

Lilyana Mihalkova, Technical Report UT-AI-TR-07-341, Artificial Intelligence Lab, University of Texas at Austin. |

Learning for Information Extraction: From Named Entity Recognition and Disambiguation To Relation Extraction | 2007 |

Razvan Constantin Bunescu, PhD Thesis, Department of Computer Sciences, University of Texas at Austin. 150 pages. Also as Technical Report AI07-345, Artificial Intelligence Lab, University of Texas at Austin, August 2007. |

Mapping and Revising Markov Logic Networks for Transfer Learning | 2007 |

Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Mooney, In *Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI-07)*, pp. 608-614, Vancouver, BC, July 2007. |

Statistical Relational Learning for Natural Language Information Extraction | 2007 |

Razvan Bunescu and Raymond J. Mooney, In *Introduction to Statistical Relational Learning*, L. Getoor and B. Taskar (Eds.), pp. 535-552, Cambridge, MA 2007. MIT Press. |

Transfer Learning with Markov Logic Networks | 2006 |

Lilyana Mihalkova and Raymond Mooney, In *Proceedings of the ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning*, Pittsburgh, PA, June 2006. |

Learning for Collective Information Extraction | 2005 |

Razvan C. Bunescu, Technical Report TR-05-02, Department of Computer Sciences, University of Texas at Austin. Ph.D. proposal. |

A Comparison of Inference Techniques for Semi-supervised Clustering with Hidden Markov Random Fields | 2004 |

Mikhail Bilenko and Sugato Basu, In *Proceedings of the ICML-2004 Workshop on Statistical Relational Learning and its Connections to Other Fields (SRL-2004)*, Banff, Canada, July 2004. |

Collective Information Extraction with Relational Markov Networks | 2004 |

Razvan Bunescu and Raymond J. Mooney, In *Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04)*, pp. 439-446, Barcelona, Spain, July 2004. |

Relational Markov Networks for Collective Information Extraction | 2004 |

Razvan Bunescu and Raymond J. Mooney, In *Proceedings of the ICML-04 Workshop on Statistical Relational Learning and its Connections to Other Fields*, Banff, Alberta, July 2004. |

Automated Construction of Database Interfaces: Integrating Statistical and Relational Learning for Semantic Parsing | 2000 |

Lappoon R. Tang and Raymond J. Mooney, In *Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora(EMNLP/VLC-2000)*, pp. 133-141, Hong Kong, October 2000. |