Department of Computer Science

Machine Learning Research Group

University of Texas at Austin Artificial Intelligence Lab

Publications: 2014


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  1. University of Texas at Austin KBP 2014 Slot Filling System: Bayesian Logic Programs for Textual Inference
    [Details] [PDF]
    Yinon Bentor and Vidhoon Viswanathan and Raymond Mooney
    In Proceedings of the Seventh Text Analysis Conference: Knowledge Base Population (TAC 2014), 2014.
  2. Natural Language Semantics using Probabilistic Logic
    [Details] [PDF] [Slides (PPT)]
    I. Beltagy
    October 2014. PhD proposal, Department of Computer Science, The University of Texas at Austin.
  3. Weakly-Supervised Bayesian Learning of a CCG Supertagger
    [Details] [PDF] [Slides (PDF)] [Poster]
    Dan Garrette and Chris Dyer and Jason Baldridge and Noah A. Smith
    In Proceedings of the Eighteenth Conference on Computational Natural Language Learning (CoNLL-2014), 141--150, Baltimore, MD, June 2014.
  4. Inclusive yet Selective: Supervised Distributional Hypernymy Detection
    [Details] [PDF]
    Stephen Roller and Katrin Erk and Gemma Boleda
    In Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), 1025--1036, Dublin, Ireland, August 2014.
  5. UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic
    [Details] [PDF]
    I. Beltagy and Stephen Roller and Gemma Boleda and and Katrin Erk and Raymond J. Mooney
    In The 8th Workshop on Semantic Evaluation (SemEval-2014), 796--801, Dublin, Ireland, August 2014.
  6. Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild
    [Details] [PDF]
    Jesse Thomason and Subhashini Venugopalan and Sergio Guadarrama and Kate Saenko and Raymond Mooney
    In Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), 1218--1227, Dublin, Ireland, August 2014.
  7. Efficient Markov Logic Inference for Natural Language Semantics
    [Details] [PDF] [Poster]
    I. Beltagy and Raymond J. Mooney
    In Proceedings of the Fourth International Workshop on Statistical Relational AI at AAAI (StarAI-2014), 9--14, Quebec City, Canada, July 2014.
  8. Integrating Visual and Linguistic Information to Describe Properties of Objects
    [Details] [PDF]
    Calvin MacKenzie
    2014. Undergraduate Honors Thesis, Computer Science Department, University of Texas at Austin.
  9. Semantic Parsing using Distributional Semantics and Probabilistic Logic
    [Details] [PDF] [Poster]
    I. Beltagy and Katrin Erk and Raymond Mooney
    In Proceedings of ACL 2014 Workshop on Semantic Parsing (SP-2014), 7--11, Baltimore, MD, June 2014.
  10. Probabilistic Soft Logic for Semantic Textual Similarity
    [Details] [PDF] [Poster]
    I. Beltagy and Katrin Erk and Raymond J. Mooney
    In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-14), 1210--1219, Baltimore, MD, 2014.
  11. Plan Recognition Using Statistical Relational Models
    [Details] [PDF]
    Sindhu Raghavan and Parag Singla and Raymond J. Mooney
    In Sukthankar, G. and Geib, C. and Bui, H.H. and Pynadath, D. and Goldman, R.P., editors, Plan, Activity, and Intent Recognition: Theory and Practice, 57--85, Burlington, MA, 2014. Morgan Kaufmann.
  12. Active Multitask Learning Using Both Latent and Supervised Shared Topics
    [Details] [PDF] [Slides (PDF)]
    Ayan Acharya and Raymond J. Mooney and Joydeep Ghosh
    In Proceedings of the 2014 SIAM International Conference on Data Mining (SDM14), Philadelphia, Pennsylvania, April 2014.
  13. Statistical Script Learning with Multi-Argument Events
    [Details] [PDF] [Poster]
    Karl Pichotta and Raymond J. Mooney
    In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014), 220--229, Gothenburg, Sweden, April 2014.