Natural Language Processing (Cognitive)
Our research in cognitive models of natural language processing aims at bridging the gap between subsymbolic representations and complex high-level behavior. The models are based on subsymbolic mechanisms but aim at explaining how people learn word meanings, organize their lexicon, understand sentences and stories, and answer questions about them. An important aspect of this research is also understanding linguistic disorders, and most recently, the evolution of language.
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Nora E. Aguirre-Celis Ph.D. Student naguirre [at] cs utexas edu
Shlomo Bentin Collaborator shlomo bentin [at] huji ac il
Dennis J. A. Bijwaard Formerly affiliated Visitor
Yonatan Bisk Undergraduate Alumni ybisk [at] yo-tech com
Bobby D. Bryant Ph.D. Alumni bdbryant [at] cse unr edu
Chun-Chi Chen Undergraduate Alumni
Igor Farkas Postdoctoral Alumni farkas [at] fmph uniba sk
Peggy Fidelman Formerly affiliated Ph.D. Student
Uli Grasemann Postdoctoral Alumni uli [at] cs utexas edu
Ralph E. Hoffman Collaborator ralph hoffman [at] yale edu
Kay E. Holekamp Collaborator holekamp [at] msu edu
Daniel L. James Undergraduate Alumni
Swathi Kiran Collaborator kirans [at] bu edu
Marshall R. Mayberry III Ph.D. Alumni martym at coli dot uni-sb dot
Risto Miikkulainen Faculty risto [at] cs utexas edu
Melissa Redford Postdoctoral Alumni redford [at] cs utexas edu
Yaron Silberman Ph.D. Alumni yarons [at] alice nc huji ac il
Lappoon R. Tang Ph.D. Alumni ltang [at] utb edu
Gert Westermann Formerly affiliated Visitor gwestermann [at] brookes ac uk
Paul Williams Undergraduate Alumni pwilly [at] cs utexas edu
Hong Ming Yeh Formerly affiliated Ph.D. Student hongming [at] cs utexas edu
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A Computational Account of Bilingual Aphasia Rehabilitation 2013
Swathi Kiran, Uli Grasemann, Chaleece Sandberg, and Risto Miikkulainen, Bilingualism: Language and Cognition, Vol. 16 (2013), pp. 325-342.
Modeling Acute and Compensated Language Disturbance in Schizophrenia 2011
Uli Grasemann, Ralph Hoffman and Risto Miikkulainen, In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society 2011.
Using Computational Patients to Evaluate Illness Mechanisms in Schizophrenia 2011
Ralph E. Hoffman, Uli Grasemann, Ralitza Gueorguieva, Donald Quinlan, Douglas Lane, and Risto Miikkulainen, Biological Psychiatry, Vol. 69 (2011), pp. 997--1005.
A Computational Model of Language Pathology in Schizophrenia 2010
Uli Grasemann, PhD Thesis, Department of Computer Science, The University of Texas at Austin. 147 pages. Technical report TR-11-11.
Modeling the Bilingual Lexicon of an Individual Subject 2009
Risto Miikkulainen and Swathi Kiran, In Proceedings of the Workshop on Self-Organizing Maps (WSOM'09), Berlin 2009. Springer.
The Necessity of Separating Control and Logic When Grounding Language Using Neuroevolution 2009
Yonatan Bisk, Technical Report HR-09-05, Department of Computer Sciences, The University of Texas at Austin.
Incremental Nonmonotonic Sentence Interpretation through Semantic Self-Organization 2008
Marshall R. Mayberry III and Risto Miikkulainen, Technical Report AI08-12, Department of Computer Sciences, University of Texas at Austin.
A Subsymbolic Model of Language Pathology in Schizophrenia 2007
Uli Grasemann, Risto Miikkulainen, Ralph Hoffman, In Proceedings of the 29th Annual Conference of the Cognitive Science Society, pp. 311-316, Hillsdale, NJ 2007. Erlbaum.
Semantic Boost on Episodic Associations: An Empirically Based Computational Model 2007
Yaron Silberman, Shlomo Bentin, and Risto Miikkulainen, Cognitive Science, Vol. 31 (2007), pp. 645--671.
Grounding Language in Descriptions of Scenes 2006
Paul Williams and Risto Miikkulainen, In Proceedings of the 28th Annual Meeting of the Cognitive Science Society 2006.
A Subsymbolic Model of Complex Story Understanding 2005
Peggy Fidelman, Risto Miikkulainen and Ralph Hoffman, In Proceedings of the 27th Annual Meeting of the Cognitive Science Society 2005.
Broad-Coverage Parsing with Neural Networks 2005
Marshall R. Mayberry III and Risto Miikkulainen, Neural Processing Letters, Vol. 21 (2005), pp. 121--143.
Learning Visual Scene Descriptions: An Approach to Symbol Grounding 2005
Paul Williams, Technical Report TR-06-01, Department of Computer Science, The University of Texas at Austin.
Incremental Nonmonotonic Parsing through Semantic Self-Organization 2003
Marshall R. Mayberry III, PhD Thesis, Department of Computer Sciences, the University of Texas at Austin. Technical Report AI-TR-04-310.
Incremental Nonmonotonic Parsing through SemanticSelf-Organization 2003
Marshall R. Mayberry III and Risto Miikkulainen, In Proceedings of the 25th Annual Conference of the Cognitive Science Society 2003.
Text and Discourse Understanding: The DISCERN System 2002
Risto Miikkulainen, In A Handbook of Natural Language Processing: Techniques and Applications for the Processing of Language as Text, R. Dale, H. Moisl and H. Somers (Eds.), pp. 905--919, New York 2002.
Abrupt And Gradual Sound Change In An Expanding Lexicon 2001
Melissa A. Redford and Risto Miikkulainen, Technical Report AI01-289, Department of Computer Sciences, The University of Texas at Austin.
Constrained Emergence Of Universals And Variation In Syllable Systems 2001
Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen, Language and Speech (2001), pp. 27-56. Manuscript.
From Word Stream To Gestalt: A Direct Semantic Parse For Complex Sentences 2001
Bobby D. Bryant and Risto Miikkulainen, Technical Report AI98-274, AI Lab, University of Texas at Austin.
Semantic Effect On Episodic Associations 2001
Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin, In Proceedings of the 23rd Annual Conference of the Cognitive Science Society, pp. 934-939 2001.
Disambiguation And Grammar As Emergent Soft Constraints 1999
Risto Miikkulainen and Marshall R. Mayberry III, In Workshop on Thought and Language, Brian J. MacWhinney (Eds.), pp. 20-31, Iizuka, Japan 1999. Department of Artificial Intelligence, Kyushu Institute of Technology.
SARDSRN: A Neural Network Shift-Reduce Parser 1999
Marshall R. Mayberry III and Risto Miikkulainen, In Proceedings of the 16th Annual International Joint Conference on Artificial Intelligence (IJCAI-99), pp. 820-825, Stockholm, Sweden 1999. San Francisco, CA: Kaufmann.
Using a Sequential SOM to Parse Long-Term Dependencies 1999
Marshall R. Mayberry III and Risto Miikkulainen, In Proceedings of the 21st Annual Conference of the Cognitive Science Society, Martin Hahn and Scott C. Stoness (Eds.), pp. 367-372 1999. Hillsdale, NJ: Erlbaum.
Modeling The Emergence Of Syllable Systems 1998
Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen, In Proceedings of the 20th Annual Conference of the Cognitive Science Society, Morton Ann Gernsbacher and Sharon J. Derry (Eds.), pp. 882-886 1998. Hillsdale, NJ: Erlbaum.
Dyslexic and Category-Specific Aphasic Impairments in a Self-Organizing Feature Map Model of the Lexicon 1997
Risto Miikkulainen, Brain and Language (1997), pp. 334-366.
Natural Language Processing With Subsymbolic Neural Networks 1997
Risto Miikkulainen, In Neural Network Perspectives on Cognition and Adaptive Robotics, Antony Browne (Eds.), pp. 120-139, Bristol, UK; Philadelphia, PA 1997. Institute of Physics Publishing.
Subsymbolic Case-Role Analysis Of Sentences With Embedded Clauses 1996
Risto Miikkulainen, Cognitive Science, Vol. 20 (1996), pp. 47-73.
SARDNET: A Self-Organizing Feature Map For Sequences 1995
Daniel L. James and Risto Miikkulainen, In Advances in Neural Information Processing Systems 7 (NIPS'94), G. Tesauro, D. S. Touretzky, and T. K. Leen (Eds.), pp. 577--584, Denver, CO 1995. Cambridge, MA: MIT Press.
Script-Based Inference And Memory Retrieval In Subsymbolic Story Processing 1995
Risto Miikkulainen, Applied Intelligence (1995), pp. 137-163.
Visualizing High-Dimensional Structure with the Incremental Grid Growing Network 1995
Justine Blackmore, Masters Thesis, Department of Computer Sciences, The University of Texas at Austin. Technical Report AI95-238.
Visualizing High-Dimensional Structure With The Incremental Grid Growing Neural Network 1995
Justine Blackmore and Risto Miikkulainen, In Machine Learning: Proceedings of the 12th Annual Conference, Armand Prieditis and Stuart Russell (Eds.), pp. 55-63, Austin, TX 1995. San Francisco, CA: Morgan Kaufmann. 55-63. Technical Repo...
A Connectionist Corpus-Based Approach to the Building of Word Representations 1994
Rupert L. Tang, Technical Report HR-94-01, Department of Computer Science, The University of Texas at Austin.
Integrated Connectionist Models: Building AI Systems on Subsymbolic Foundations 1994
Risto Miikkulainen, Artificial Intelligence and Neural Networks: Steps Toward Principled IntegrationHonavar, V., and Uhr, L. (Eds.) (1994), pp. 483--508.
Lexical Disambiguation Based on Distributed Representations of Context Frequency 1994
Marshall R. Mayberry III and Risto Miikkulainen, In Proceedings of the 16th Annual Conference of the Cognitive Science Society, Ashwin Ram and Kurt Eiselt (Eds.), pp. 601-606 1994. Hillsdale, NJ: Erlbaum.
Verb Inflections in German Child Language: A Connectionist Account 1994
Gert Westermann and Risto Miikkulainen, In Proceedings of the 16th Annual Conference of the Cognitive Science Society, Ashwin Ram and Kurt Eiselt (Eds.), pp. 928-933 1994. Hillsdale, NJ: Erlbaum.
Multi-Level Neural Network Language Translator 1993
James A. Bednar, Technical Report HR-93-01, Department of Computer Sciences, The University of Texas at Austin.
Subsymbolic Natural Language Processing: An Integrated Model Of Scripts, Lexicon, And Memory 1993
Risto Miikkulainen, , MIT Press, Cambridge, MA 1993. MIT Press.
Trace Feature Map: A Model Of Episodic Associative Memory 1992
Risto Miikkulainen, Biological Cybernetics, Vol. 66 (1992), pp. 273--282.
Natural Language Processing With Modular PDP Networks And Distributed Lexicon 1991
Risto Miikkulainen and Michael G. Dyer, Cognitive Science, Vol. 15 (1991), pp. 343-399.
A PDP Architecture For Processing Sentences With Relative Clauses 1990
Risto Miikkulainen, In Proceedings of the 13th International Conference on Computational Linguistics (COLING-90), pp. 201--206, Helsinki, Finland: Yliopistopaino 1990.
DISCERN: A Distributed Artificial Neural Network Model Of Script Processing And Memory 1990
Risto Miikkulainen, PhD Thesis, University of California. 334.
Script Recognition With Hierarchical Feature Maps 1990
Risto Miikkulainen, Connection Science, Vol. 2 (1990), pp. 83-101.
MIR Sentence Processing Package The MIR Sentence Processing package contains the C source code for the MIR system, as well as a selection of scripts wi... 1998

DISLEX

This package contains the C-code and data for training and testing the DISLEX model of the lexicon, which is also par...

1994

FGREPNET The FGREPNET package contains the C-code and data for training and testing an FGREP network in developing distributed re... 1994

HFM The HFM package contains the C-code and data for training and testing the HFM memory organization and hierarchical class... 1994

PROC The PROC package contains the C-code and data for training and testing the story processing modules of the DISCERN syste... 1994

SPEC The SPEC package contains the C-code and data for training and testing the SPEC system for processing complex sentences ... 1994

DISCERN DISCERN is a large, modular neural network system for reading, paraphrasing and answering questions about stereotypical ... 1993