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.
Subareas:
Islam Beltagy Ph.D. Student beltagy [at] cs utexas edu
Yinon Bentor Ph.D. Student yinon [at] cs utexas edu
James Jumin Fan Ph.D. Alumni jfan [at] cs utexas edu
Dan Garrette Ph.D. Student dhg [at] cs utexas edu
Raymond J. Mooney Faculty mooney [at] cs utexas edu
Karl Pichotta Ph.D. Student pichotta [at] cs utexas edu
Stephen Roller Ph.D. Student roller [at] cs utexas edu
Jesse Thomason Ph.D. Student jesse [at] cs utexas edu
Subhashini Venugopalan Ph.D. Student vsub [at] cs utexas edu
     [Expand to show all 46][Minimize]
Efficient Markov Logic Inference for Natural Language Semantics 2014
Islam Beltagy and Raymond J. Mooney, In Proceedings of the Fourth International Workshop on Statistical Relational AI at AAAI (StarAI-2014), pp. 9--14, Quebec City, Canada, July 2014.
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.
Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild 2014
Jesse Thomason, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, and Raymond Mooney, In Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), pp. 1218--1227, Dublin, Ireland, August 2014.
Integrating Visual and Linguistic Information to Describe Properties of Objects 2014
Calvin MacKenzie, Undergraduate Honors Thesis, Computer Science Department, University of Texas at Austin.
Probabilistic Soft Logic for Semantic Textual Similarity 2014
Islam Beltagy, Katrin Erk, and Raymond J. Mooney, In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-14), pp. 1210--1219, Baltimore, MD 2014.
Semantic Parsing using Distributional Semantics and Probabilistic Logic 2014
Islam Beltagy, Katrin Erk, and Raymond Mooney, In Proceedings of ACL 2014 Workshop on Semantic Parsing (SP-2014), pp. 7--11, Baltimore, MD, June 2014.
Statistical Script Learning with Multi-Argument Events 2014
Karl Pichotta and Raymond J. Mooney, In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014), pp. 220--229, Gothenburg, Sweden, April 2014.
UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic 2014
Islam 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 Formal Approach to Linking Logical Form and Vector-Space Lexical Semantics 2013
Dan Garrette, Katrin Erk, Raymond J. Mooney, In Computing Meaning, Harry Bunt, Johan Bos, and Stephen Pulman (Eds.), Vol. 4, pp. 27--48, Berlin 2013. Springer.
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.
Adapting Discriminative Reranking to Grounded Language Learning 2013
Joohyun Kim and Raymond J. Mooney, In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013), pp. 218--227, Sofia, Bulgaria, August 2013.
Detecting Promotional Content in Wikipedia 2013
Shruti Bhosale, Heath Vinicombe, and Raymond J. Mooney, In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), pp. 1851--1857, Seattle, WA, October 2013.
Generating Natural-Language Video Descriptions Using Text-Mined Knowledge 2013
Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama, In Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI-2013), pp. 541--547, July 2013.
Grounded Language Learning Models for Ambiguous Supervision 2013
Joo Hyun Kim, PhD Thesis, Department of Computer Science, University of Texas at Austin.
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.
Learning a Part-of-Speech Tagger from Two Hours of Annotation 2013
Dan Garrette, Jason Baldridge , Proceedings of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT-13) (2013), pp. 138--147.
Logic Programs vs. First-Order Formulas in Textual Inference 2013
Yuliya Lierler and Vladimir Lifschitz, 10th International Conference on Computational Semantics (IWCS) (2013).
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form 2013
Islam Beltagy, Cuong Chau, Gemma Boleda, Dan Garrette, Katrin Erk, Raymond Mooney, Proceedings of the Second Joint Conference on Lexical and Computational Semantics (*Sem-2013) (2013), pp. 11--21.
Online Inference-Rule Learning from Natural-Language Extractions 2013
Sindhu Raghavan and Raymond J. Mooney, In Proceedings of the 3rd Statistical Relational AI (StaRAI-13) workshop at AAAI '13, July 2013.
Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages 2013
Dan Garrette, Jason Mielens, and Jason Baldridge , To Appear Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013) (2013), pp. 583--592.
Role of KR in Natural Language Understanding and Synergic KR 2013
Yuliya Lierler, NSF Workshop: Research Challenges and Opportunities in Knowledge Representation (2013).
Towards a Tight Integration of Syntactic Parsing with Semantic Disambiguation by means of Declarative Programming 2013
Yuliya Lierler and Peter Schueller, 10th International Conference on Computational Semantics (IWCS) (2013).
University of Texas at Austin KBP 2013 Slot Filling System: Bayesian Logic Programs for Textual Inference 2013
Yinon Bentor, Amelia Harrison, Shruti Bhosale, and Raymond Mooney, In Proceedings of the Sixth Text Analysis Conference (TAC 2013) 2013.
YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-shot Recognition 2013
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), pp. 2712--2719, Sydney, Australia, December 2013.
Bayesian Logic Programs for Plan Recognition and Machine Reading 2012
Sindhu Raghavan, PhD Thesis, Department of Computer Science, University of Texas at Austin. 170.
Fast Online Lexicon Learning for Grounded Language Acquisition 2012
David L. Chen, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL-2012) (2012), pp. 430--439.
Generative Models of Grounded Language Learning with Ambiguous Supervision 2012
Joohyun Kim, Technical Report, PhD proposal, Department of Computer Science, The University of Texas at Austin.
Improving Video Activity Recognition using Object Recognition and Text Mining 2012
Tanvi S. Motwani and Raymond J. Mooney, In Proceedings of the 20th European Conference on Artificial Intelligence (ECAI-2012), pp. 600--605, August 2012.
Learning Language from Ambiguous Perceptual Context 2012
David L. Chen, PhD Thesis, Department of Computer Science, University of Texas at Austin. 196.
Type-Supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries 2012
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), pp. 821--831, Jeju, Korea, July 2012.
Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision 2012
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), pp. 433--444, Jeju Island, Korea, July 2012.
Building a Persistent Workforce on Mechanical Turk for Multilingual Data Collection 2011
David L. Chen and William B. Dolan, In Proceedings of The 3rd Human Computation Workshop (HCOMP 2011), August 2011.
Integrating Logical Representations with Probabilistic Information using Markov Logic 2011
Dan Garrette, Katrin Erk, Raymond Mooney, In Proceedings of the International Conference on Computational Semantics, pp. 105--114, Oxford, England, January 2011.
Panning for Gold: Finding Relevant Semantic Content for Grounded Language Learning 2011
David L. Chen and Raymond J. Mooney, In Proceedings of Symposium on Machine Learning in Speech and Language Processing (MLSLP 2011), June 2011.
Knowledge integration across multiple texts 2009
Doo Soon Kim, Ken Barker, and Bruce Porter, In The Fifth International Conference on Knowledge Capture (KCAP2009) 2009.
Constructing a semantic interpreter using distributional analysis 2009
Michael Glass, Ken Barker, Rekha Kumar, Guhan Ravi and Bruce Porter, In Proceedings of the Eighth Conference of the Pacific Association for Computational Linguistics 2009.
Kleo: A Bootstrapping Learning-by-reading System 2009
Doo Soon Kim and Bruce Porter, In AAAI Spring Symposium on Learning by Reading and Learning to Read 2009.
Improving semantic integration by learning semantic interpretation rules 2008
Michael Glass and Bruce Porter, In AAAI Spring Symposium on Semantic Scientific Knowledge Integration 2008.
Knowledge Representation and Question Answering 2008
Marcello Balduccini, Chitta Baral, Yuliya Lierler, In Handbook of Knowledge Representation, Frank van Harmelen and Vladimir Lifschitz and Bruce Porter (Eds.), pp. 779-820 2008. Elsevier.
Following Natural Language Route Instructions 2007
Matthew T. MacMahon, PhD Thesis, Electrical and Computer Engineering Department, University of Texas at Austin.
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned 2007
Ken Barker, Bhalchandra Agashe, Shaw-Yi Chaw, James Fan, Noah Friedland, Michael Glass, Jerry Hobbs, Eduard Hovy, David Israel, Doo Soon Kim, Rutu Mulkar-Mehta, Sourabh Patwardhan, Bruce Porter, Dan Tecuci, and Peter Yeh, In Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI 2007) 2007.
Indirect Anaphora Resolution as Semantic Path Search 2005
James Fan, Ken Barker, Bruce Porter, In Proceedings of Third International Conference on Knowledge Capture 2005.
Interpreting Loosely Encoded Questions 2004
James Fan, Bruce Porter, In Proceedings of the Nineteenth National Conference on Artificial Intelligence 2004.
The Knowledge Required to Interpret Noun Compounds 2003
James Fan, Ken Barker, Bruce Porter, In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence 2003.
Robust Natural Language Generation from Large-Scale Knowledge Bases 1995
Charles B. Callaway and James Lester, In Proceedings of the Fourth Bar-Ilan Symposium on the Foundations of AI 1995.
Generalizing Explanations of Narratives into Schemata 1985
Raymond J. Mooney, In Proceedings of the Third International Machine Learning Workshop, pp. 126--128, New Brunswick, New Jersey 1985.