Department of Computer Science

Machine Learning Research Group

University of Texas at Austin Artificial Intelligence Lab

Publications: Natural Language Processing

Natural Language Processing is a broad area that includes various approaches to building computational systems that understand and generate language, as well as categorization and analysis of text documents, and cognitive models of human language processing.

Sub-areas:
  1. Probabilistic Soft Logic for Semantic Textual Similarity
    [Details] [PDF]
    Islam Beltagy and Katrin Erk and Raymond J. Mooney
    To Appear In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-14), Baltimore, MD, 2014.
  2. Statistical Script Learning with Multi-Argument Events
    [Details] [PDF]
    Karl Pichotta and Raymond J. Mooney
    To Appear In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014), Gothenburg, Sweden, April 2014.
  3. University of Texas at Austin KBP 2013 Slot Filling System: Bayesian Logic Programs for Textual Inference
    [Details] [PDF]
    Yinon Bentor and Amelia Harrison and Shruti Bhosale and Raymond Mooney
    In Proceedings of the Sixth Text Analysis Conference (TAC 2013), 2013.
  4. YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-shot Recognition
    [Details] [PDF] [Poster]
    Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond Mooney, Trevor Darrell, Kate Saenko
    In Proceedings of the 14th International Conference on Computer Vision (ICCV-2013), 2712--2719, Sydney, Australia, December 2013.
  5. A Multimodal LDA Model Integrating Textual, Cognitive and Visual Modalities
    [Details] [PDF]
    Stephen Roller and Sabine Schulte im Walde
    In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), 1146--1157, Seattle, WA, October 2013.
  6. Identifying Phrasal Verbs Using Many Bilingual Corpora
    [Details] [PDF] [Poster]
    Karl Pichotta and John DeNero
    In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), 636--646, Seattle, WA, October 2013.
  7. Detecting Promotional Content in Wikipedia
    [Details] [PDF] [Slides]
    Shruti Bhosale and Heath Vinicombe and Raymond J. Mooney
    In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), 1851--1857, Seattle, WA, October 2013.
  8. Grounded Language Learning Models for Ambiguous Supervision
    [Details] [PDF] [Slides]
    Joo Hyun Kim
    PhD Thesis, Department of Computer Science, University of Texas at Austin, December 2013.
  9. Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages
    [Details] [PDF]
    Dan Garrette and Jason Mielens and Jason Baldridge
    To Appear In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013), 583--592, Sofia, Bulgaria, August 2013.
  10. Online Inference-Rule Learning from Natural-Language Extractions
    [Details] [PDF] [Poster]
    Sindhu Raghavan and Raymond J. Mooney
    In Proceedings of the 3rd Statistical Relational AI (StaRAI-13) workshop at AAAI '13, July 2013.
  11. Adapting Discriminative Reranking to Grounded Language Learning
    [Details] [PDF] [Slides]
    Joohyun Kim and Raymond J. Mooney
    In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013), 218--227, Sofia, Bulgaria, August 2013.
  12. Montague Meets Markov: Deep Semantics with Probabilistic Logical Form
    [Details] [PDF] [Slides]
    Islam Beltagy, Cuong Chau, Gemma Boleda, Dan Garrette, Katrin Erk, Raymond Mooney
    In Proceedings of the Second Joint Conference on Lexical and Computational Semantics (*Sem-2013), 11--21, Atlanta, GA, June 2013.
  13. A Formal Approach to Linking Logical Form and Vector-Space Lexical Semantics
    [Details] [PDF]
    Dan Garrette, Katrin Erk, Raymond J. Mooney
    In Harry Bunt, Johan Bos, and Stephen Pulman, editors, Computing Meaning, 27--48, Berlin, 2013. Springer.
  14. Learning a Part-of-Speech Tagger from Two Hours of Annotation
    [Details] [PDF] [Slides] [Video]
    Dan Garrette, Jason Baldridge
    In Proceedings of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT-13), 138--147, Atlanta, GA, June 2013.
  15. Generating Natural-Language Video Descriptions Using Text-Mined Knowledge
    [Details] [PDF] [Slides]
    Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama
    In Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI-2013), 541--547, July 2013.
  16. Bayesian Logic Programs for Plan Recognition and Machine Reading
    [Details] [PDF] [Slides]
    Sindhu Raghavan
    PhD Thesis, Department of Computer Science, University of Texas at Austin, December 2012. 170.
  17. Type-Supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries
    [Details] [PDF]
    Dan Garrette and Jason Baldridge
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2012), 821--831, Jeju, Korea, July 2012.
  18. Improving Video Activity Recognition using Object Recognition and Text Mining
    [Details] [PDF] [Slides]
    Tanvi S. Motwani and Raymond J. Mooney
    In Proceedings of the 20th European Conference on Artificial Intelligence (ECAI-2012), 600--605, August 2012.
  19. Generative Models of Grounded Language Learning with Ambiguous Supervision
    [Details] [PDF] [Slides]
    Joohyun Kim
    Technical Report, PhD proposal, Department of Computer Science, The University of Texas at Austin, June 2012.
  20. Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision
    [Details] [PDF]
    Joohyun Kim and Raymond J. Mooney
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing and Natural Language Learning (EMNLP-CoNLL '12), 433--444, Jeju Island, Korea, July 2012.
  21. Fast Online Lexicon Learning for Grounded Language Acquisition
    [Details] [PDF] [Slides]
    David L. Chen
    In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL-2012), 430--439, July 2012.
  22. Learning Language from Ambiguous Perceptual Context
    [Details] [PDF] [Slides]
    David L. Chen
    PhD Thesis, Department of Computer Science, University of Texas at Austin, May 2012. 196.
  23. 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.
  24. 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.
  25. 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.
  26. Generalizing Explanations of Narratives into Schemata
    [Details] [PDF]
    Raymond J. Mooney
    In Proceedings of the Third International Machine Learning Workshop, 126--128, New Brunswick, New Jersey, 1985.