Department of Computer Science

Machine Learning Research Group

University of Texas at Austin Artificial Intelligence Lab

Publications: 2015

  1. Stacked Ensembles of Information Extractors for Knowledge-Base Population by Combining Supervised and Unsupervised Approaches
    [Details] [PDF] [Slides (PDF)]
    Nazneen Fatema Rajani and Raymond J Mooney
    In Proceedings of the Eighth Text Analysis Conference (TAC 2015), November 2015.
  2. Statistical Script Learning with Recurrent Neural Nets
    [Details] [PDF] [Slides (PDF)]
    Karl Pichotta
    December 2015. PhD proposal, Department of Computer Science, The University of Texas at Austin.
  3. Natural Language Video Description using Deep Recurrent Neural Networks
    [Details] [PDF] [Slides (PDF)]
    Subhashini Venugopalan
    November 2015. PhD proposal, Department of Computer Science, The University of Texas at Austin.
  4. Knowledge Transfer Using Latent Variable Models
    [Details] [PDF] [Slides (PDF)]
    Ayan Acharya
    PhD Thesis, Department of Electrical and Computer Engineering, The University of Texas at Austin, August 2015.
  5. Inducing Grammars from Linguistic Universals and Realistic Amounts of Supervision
    [Details] [PDF]
    Dan Garrette
    PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2015.
  6. A Supertag-Context Model for Weakly-Supervised CCG Parser Learning
    [Details] [PDF] [Slides (PDF)]
    Dan Garrette and Chris Dyer and Jason Baldridge and Noah A. Smith
    In Proceedings of the 2015 Conference on Computational Natural Language Learning (CoNLL-2015), 22--31, Beijing, China, 2015.
  7. Sequence to Sequence -- Video to Text
    [Details] [PDF]
    Subhashini Venugopalan and Marcus Rohrbach and Jeff Donahue and Raymond J. Mooney and Trevor Darrell and Kate Saenko
    In Proceedings of the 2015 International Conference on Computer Vision (ICCV-15), Santiago, Chile, December 2015.
  8. Stacked Ensembles of Information Extractors for Knowledge-Base Population
    [Details] [PDF] [Slides (PPT)]
    Vidhoon Viswanathan and Nazneen Fatema Rajani and Yinon Bentor and Raymond J. Mooney
    In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-15), 177-187, Beijing, China, July 2015.
  9. Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes
    [Details] [PDF] [Poster]
    Chris Quirk and Raymond Mooney and Michel Galley
    In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-15), 878--888, Beijing, China, July 2015.
  10. Knowledge Base Population using Stacked Ensembles of Information Extractors
    [Details] [PDF]
    Vidhoon Viswanathan
    Masters Thesis, Department of Computer Science, The University of Texas at Austin, May 2015.
  11. Learning to Interpret Natural Language Commands through Human-Robot Dialog
    [Details] [PDF] [Slides (PDF)]
    Jesse Thomason and Shiqi Zhang and Raymond Mooney and Peter Stone
    In Proceedings of the 2015 International Joint Conference on Artificial Intelligence (IJCAI), 1923--1929, Buenos Aires, Argentina, July 2015.
  12. Translating Videos to Natural Language Using Deep Recurrent Neural Networks
    [Details] [PDF] [Slides (PDF)]
    Subhashini Venugopalan and Huijuan Xu and Jeff Donahue and Marcus Rohrbach and Raymond Mooney and Kate Saenko
    In Proceedings the 2015 Conference of the North American Chapter of the Association for Computational Linguistics -- Human Language Technologies (NAACL HLT 2015), 1494--1504, Denver, Colorado, June 2015.
  13. Unsupervised Code-Switching for Multilingual Historical Document Transcription
    [Details] [PDF] [Slides (PDF)]
    Dan Garrette and Hannah Alpert-Abrams and Taylor Berg-Kirkpatrick and Dan Klein
    In Proceedings the 2015 Conference of the North American Chapter of the Association for Computational Linguistics -- Human Language Technologies (NAACL HLT 2015), 1036--1041, Denver, Colorado, June 2015.
  14. On the Proper Treatment of Quantifiers in Probabilistic Logic Semantics
    [Details] [PDF] [Slides (PPT)]
    I. Beltagy and Katrin Erk
    In Proceedings of the 11th International Conference on Computational Semantics (IWCS-2015), London, UK, April 2015.
  15. Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning
    [Details] [PDF] [Slides (PDF)]
    Dan Garrette, Chris Dyer, Jason Baldridge, Noah A. Smith
    In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), Austin, TX, January 2015.