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.
People
Stephen Roller Ph.D. Alumni roller [at] cs utexas edu
Publications
     [Expand to show all 23][Minimize]
Multi-Modal Word Synset Induction 2017
Jesse Thomason and Raymond J. Mooney, In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI-17), pp. 4116--4122, Melbourne, Australia 2017.
Continuously Improving Natural Language Understanding for Robotic Systems through Semantic Parsing, Dialog, and Multi-modal Perception 2016
Jesse Thomason, PhD proposal, Department of Computer Science, The University of Texas at Austin.
MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification 2016
Ye Zhang, 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), pp. 1522--1527, San Diego, California 2016.
PIC a Different Word: A Simple Model for Lexical Substitution in Context 2016
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), pp. 1121-1126, San Diego, California 2016.
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).
Inclusive yet Selective: Supervised Distributional Hypernymy Detection 2014
Stephen Roller, Katrin Erk, and Gemma Boleda, In Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), pp. 1025--1036, Dublin, Ireland, August 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 Multimodal LDA Model Integrating Textual, Cognitive and Visual Modalities 2013
Stephen Roller and Sabine Schulte im Walde, In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), pp. 1146--1157, Seattle, WA, October 2013.
Identifying Phrasal Verbs Using Many Bilingual Corpora 2013
Karl Pichotta and John DeNero, In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), pp. 636--646, Seattle, WA, October 2013.
Latent Variable Models of Distributional Lexical Semantics 2012
Joseph Reisinger, PhD Thesis, Department of Computer Science, University of Texas at Austin.
Cross-Cutting Models of Lexical Semantics 2011
Joseph Reisinger and Raymond Mooney, In Proceedings of The Conference on Empirical Methods in Natural Language Processing (EMNLP 2011), pp. 1405-1415, July 2011.
A Mixture Model with Sharing for Lexical Semantics 2010
Joseph Reisinger and Raymond J. Mooney, In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2010), pp. 1173--1182, MIT, Massachusetts, USA, October 9--11 2010.
Cross-cutting Models of Distributional Lexical Semantics 2010
Joseph S. Reisinger, unpublished. Ph.D. proposal, Department of Computer Sciences, University of Texas at Austin.
Multi-Prototype Vector-Space Models of Word Meaning 2010
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), pp. 109-117 2010.
Acquiring Word-Meaning Mappings for Natural Language Interfaces 2003
Cynthia A. Thompson and Raymond J. Mooney, Journal of Artificial Intelligence Research, Vol. 18 (2003), pp. 1-44.
Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces 1999
Cynthia A. Thompson and Raymond J. Mooney, In Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99), pp. 487-493, Orlando, FL, July 1999.
Semantic Lexicon Acquisition for Learning Natural Language Interfaces 1998
Cynthia Ann Thompson, PhD Thesis, Department of Computer Sciences, University of Texas at Austin. 101 pages. Also appears as Technical Report AI 99-278, Artificial Intelligence Lab, University of Texas at Austin.
Semantic Lexicon Acquisition for Learning Natural Language Interfaces 1998
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, M...
Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning 1996
Raymond J. Mooney, In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-96), pp. 82-91, Philadelphia, PA 1996.
Corpus-Based Lexical Acquisition For Semantic Parsing 1996
Cynthia Thompson, unpublished. Ph.D. proposal.
Lexical Acquisition: A Novel Machine Learning Problem 1996
Cynthia A. Thompson and Raymond J. Mooney, Technical Report, Artificial Intelligence Lab, University of Texas at Austin.
Acquisition of a Lexicon from Semantic Representations of Sentences 1995
Cynthia A. Thompson, In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics (ACL-95), pp. 335-337, Cambridge, MA 1995.
Integrated Learning of Words and their Underlying Concepts 1987
Raymond J. Mooney, In Proceedings of the Ninth Annual Conference of the Cognitive Science Society, pp. 947-978, Seattle, WA, July 1987.
Labs
Machine Learning