Department of Computer Science

Machine Learning Research Group

University of Texas at Austin Artificial Intelligence Lab

Publications: Lexical Semantics

Lexical semantics concerns the representation and use of word meanings in natural language processing. Our work in the area has focused on learning word meanings for use in semantic parsing and, more recently, improved distributional (vector space) models of word meaning. Lexical semantics is part of our research on natural language learning.

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  1. Multi-Modal Word Synset Induction
    [Details] [PDF]
    Jesse Thomason and Raymond J. Mooney
    In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI-17), 4116--4122, Melbourne, Australia, 2017.
  2. Continuously Improving Natural Language Understanding for Robotic Systems through Semantic Parsing, Dialog, and Multi-modal Perception
    [Details] [PDF]
    Jesse Thomason
    November 2016. PhD proposal, Department of Computer Science, The University of Texas at Austin.
  3. PIC a Different Word: A Simple Model for Lexical Substitution in Context
    [Details] [PDF]
    Stephen Roller and Katrin Erk
    In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-16), 1121-1126, San Diego, California, 2016.
  4. MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification
    [Details] [PDF]
    Ye Zhang and Stephen Roller and Byron Wallace.
    In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-16), 1522--1527, San Diego, California, 2016.
  5. Representing Meaning with a Combination of Logical and Distributional Models
    [Details] [PDF]
    I. Beltagy and Stephen Roller and Pengxiang Cheng and Katrin Erk and Raymond J. Mooney
    The special issue of Computational Linguistics on Formal Distributional Semantics, 42(4), 2016.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. Latent Variable Models of Distributional Lexical Semantics
    [Details] [PDF]
    Joseph Reisinger
    PhD Thesis, Department of Computer Science, University of Texas at Austin, May 2012.
  11. Cross-Cutting Models of Lexical Semantics
    [Details] [PDF] [Slides (PDF)]
    Joseph Reisinger and Raymond Mooney
    In Proceedings of The Conference on Empirical Methods in Natural Language Processing (EMNLP 2011), 1405-1415, July 2011.
  12. A Mixture Model with Sharing for Lexical Semantics
    [Details] [PDF] [Slides (PDF)]
    Joseph Reisinger and Raymond J. Mooney
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2010), 1173--1182, MIT, Massachusetts, USA, October 9--11 2010.
  13. Cross-cutting Models of Distributional Lexical Semantics
    [Details] [PDF] [Slides (PDF)]
    Joseph S. Reisinger
    June 2010. Ph.D. proposal, Department of Computer Sciences, University of Texas at Austin.
  14. Multi-Prototype Vector-Space Models of Word Meaning
    [Details] [PDF] [Slides (PDF)]
    Joseph Reisinger, Raymond J. Mooney
    In Proceedings of the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-2010), 109-117, 2010.
  15. Acquiring Word-Meaning Mappings for Natural Language Interfaces
    [Details] [PDF]
    Cynthia A. Thompson and Raymond J. Mooney
    Journal of Artificial Intelligence Research, 18:1-44, 2003.
  16. Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces
    [Details] [PDF]
    Cynthia A. Thompson and Raymond J. Mooney
    In Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99), 487-493, Orlando, FL, July 1999.
  17. Semantic Lexicon Acquisition for Learning Natural Language Interfaces
    [Details] [PDF]
    Cynthia Ann Thompson
    PhD Thesis, Department of Computer Sciences, University of Texas at Austin, Austin, TX, December 1998. 101 pages. Also appears as Technical Report AI 99-278, Artificial Intelligence Lab, University of Texas at Austin.
  18. Semantic Lexicon Acquisition for Learning Natural Language Interfaces
    [Details] [PDF]
    Cynthia A. Thompson and Raymond J. Mooney
    In Proceedings of the Sixth Workshop on Very Large Corpora, Montreal, Quebec, Canada, August 1998. Also available as TR AI 98-273, Artificial Intelligence Lab, University of Texas at Austin, May 1998.
  19. Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning
    [Details] [PDF]
    Raymond J. Mooney
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-96), 82-91, Philadelphia, PA, 1996.
  20. Corpus-Based Lexical Acquisition For Semantic Parsing
    [Details] [PDF]
    Cynthia Thompson
    February 1996. Ph.D. proposal.
  21. Lexical Acquisition: A Novel Machine Learning Problem
    [Details] [PDF]
    Cynthia A. Thompson and Raymond J. Mooney
    Technical Report, Artificial Intelligence Lab, University of Texas at Austin, January 1996.
  22. Acquisition of a Lexicon from Semantic Representations of Sentences
    [Details] [PDF]
    Cynthia A. Thompson
    In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics (ACL-95), 335-337, Cambridge, MA, 1995.
  23. Integrated Learning of Words and their Underlying Concepts
    [Details] [PDF]
    Raymond J. Mooney
    In Proceedings of the Ninth Annual Conference of the Cognitive Science Society, 947-978, Seattle, WA, July 1987.