| A Semantics-Based Decision Theory Region Analyser | Y. Yakimovsky and J.A. Feldman | Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 1973), Stanford, California, pp. 580-588 | August 1973 | AI | |
| On Expressing Measurement and Comparison in Japanese and English | Y. Hasegawa, R. Lee-Goldman, K. Hirose Ohara, S. Fujii, and C. J. Fillmore | In Contrastive Studies in Construction Grammar, H. C. Boas, ed., pp. 169-198, John Benjamins Publishing Company | 2010 | AI | |
| Framing Causal Events in Japanese and English | Y. Hasegawa, R. Lee-Goldman, and C. J. Fillmore | Presented at Frames and Constructions, Berkeley, California | July 2009 | AI | [PDF]
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| Universality of Frames: Evidence from English-to-Japanese Translation | Y. Hasegawa, R. Lee-Goldman, and C. J. Fillmore | The Socio-Pragmatics of Frame Semantics and Construction Grammar. Amsterdam, J.-O. Ostman and M. Fried, eds., John Benjamins | 2011 | AI | |
| A Study of Paraphrasing in Terms of FrameNet and Frame Semantics | Y. Hasegawa, R. Lee-Goldman, A. Kong, K. Ohara, K. Akita, S. Uchida, and C. J. Fillmore | Proceedings of the 6th International Conference on Construction Grammar (ICCG-6), Prague, Czech Republic | September 2011 | AI | |
| An Interview with Prof. Charles J. Fillmore | Y. Hasegawa and K. Ohara | The Rising Generation, Vol. 152, No. 6, pp. 34-39 (in Japanese) | August 2006 | AI | |
| Language Regions of Brain Are Operative in Color Perception | W. T. Siok, P. Kay, W. S. Y. Wang, A. H. D. Chan, L. Chen, K.-K. Luke, and L. H. Tan | Proceedings of the National Academy of Sciences of the United States of America, Vol. 106, No. 20, pp. 8140-8145. DOI:10.1073/pnas.0903627106. | May 2009 | AI | [PDF]
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| Survey on Tools for Content Management in TV Post-Production | W. Bailer, K. Schoeffmann, and F. Hopfgartner | In TV Content Analysis: Techniques and Applications, Chapter 18, CRC Press | 2011 | AI | |
| Learning New Color Names Produces Rapid Increase in Gray Matter in the Intact Adult Human Cortex | V. Kwok, Z. Niu, P. Kay, K. Zhou, L. Mo, Z. Jin, K.-F. So, and L. H. Tan | Proceedings of the National Academy of Sciences of the United States of America, Vol. 108, No. 16, pp. 6686-6688. DOI:10.1073/pnas.1103217108. | April 2011 | AI | [PDF]
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| Long-Term Preservation of Digital Documents: Principles and Practices | U.M. Borghoff, P. Roedig, J. Scheffczyk, and L. Schmitz | Springer-Verlag Berlin Heidelberg | 2006 | AI | |
| Inductive Rule Learning on the Knowledge Level | U. Schmid and E. Kitzelmann | Cognitive Systems Research, Special Issue on Complex Cognition , Vol. 12, Issues 3-4, pp. 237-248 | September 2011 | AI | [PDF]
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| Focal Colors Are Universal After All | T. Regier, P. Kay, and R. S. Cook | Proceedings of the National Academy of Sciences of the United States of America, Vol. 102, No. 23, pp. 8386-8391. DOI:10.1073/pnas.0503281102. | May 2005 | AI | [PDF]
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| Color Naming Reflects Optimal Partitions of Color Space | T. Regier, P. Kay, and N. Khetarpal | Proceedings of the National Academy of Sciences of the United States of America, Vol. 104, No. 4, pp. 1436-1441. DOI:10.1073/pnas.0610341104. | January 2007 | AI | [PDF]
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| Color Naming Is Near Optimal | T. Regier, P. Kay, and N. Khetarpal | Proceedings of the 29th Annual Conference of the Cognitive Science Society (CogSci 2007), Nashville, Tennessee, p. 15 | August 2007 | AI | [PDF]
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| Language and Thought: Which Side Are You On, Anyway? | T. Regier, P. Kay, A. Gilbert, and R. Ivry | In Words and the Mind: How Words Capture Human Experience, B. Malt and P. Wolff, eds., pp. 165-182, Oxford University Press, 2010 | 2010 | AI | |
| The Emergence of Words | T. Regier, B. Corrigan, R. Cabasaan, A. Woodward, M. Gasser, and L. Smith | Proceedings of the 23rd Annual Conference of the Cognitive Science Society (CogSci 2001), Edinburgh, Scotland, pp. 815-820 | August 2001 | AI | |
| Learning the Unlearnable: The Role of Missing Evidence | T. Regier and S. Gahl | Cognition, Vol. 93, No. 2, pp. 147-155 | September 2004 | AI | |
| Color Naming and Sunlight | T. Regier and P. Kay | Psychological Science 15, 288-289 | January 05 2004 | AI | |
| Color Naming and Sunlight: Commentary on Lindsey and Brown | T. Regier and P. Kay | Psychological Science, Vol. 15, No. 4, pp. 289-290 | April 2004 | AI | |
| Language, Thought, and Color: Whorf Was Half Right | T. Regier and P. Kay | Trends in Cognitive Science, Vol. 13, Issue 10, pp. 439-446 | October 2009 | AI | [PDF]
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| Attention to Endpoints: A Cross-Linguistic Constraint on Spatial Meaning | T. Regier and M. Zheng | Cognitive Science, Vol. 31, Issue 4, pp. 705-719 | July 2007 | AI | |
| An Attentional Constraint on Spatial Meaning | T. Regier and M. Zheng | Proceedings of the 25th Annual Conference of the Cognitive Science Society, Boston, Massachusetts, p. 50 | July 2003 | AI | |
| The Arab Street: Tracking a Political Metaphor | T. Regier and M. Ali Khalidi | Middle East Journal, Vol. 63, Issue 1, pp. 11-29 | 2009 | AI | [PDF]
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| Grounding Spatial Language in Perception: An Empirical and Computational Investigation | T. Regier and L. Carlson | Journal of Experimental Psychology: General, Vol. 130, No. 2, pp. 273-298 | June 2001 | AI | |
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| The Emergence of Words: Attentional Learning in Form and Meaning | T. Regier | Cognitive Science, Vol. 29, Issue 6, pp. 819-865 | January 2005 | AI | |
| Emergent Constraints on Word-Learning: A Computational Review | T. Regier | Trends in Cognitive Sciences, Vol. 7, Issue 6, pp. 263-268 | June 2003 | AI | |
| Constraining Computational Models of Cognition | T. Regier | Encyclopedia of Cognitive Science, L. Nadel, ed., pp. 611-615, Macmillan | 2003 | AI | |
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| How to Analyze Various Consumer Data in the Future? | T. Kotro, T. Lindh-Knuutila, and E. Hiltunen | Presented at the 11th International Conference of Finland Futures Research Centre and Finland Futures Academy, Tampere, Finland, pp. 135-143 | May 2009 | AI | [PDF]
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| Answering Questions about Complex Events | S. Sinha | UC Berkeley PhD dissertation, Berkeley, California | December 2008 | AI | [PDF]
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| Learning Accurate, Compact, and Interpretable Tree Annotation | S. Petrov, L. Barrett, R. Thibeaux, and D. Klein | Proceedings of the 44th Annual Meeting of the Association of Computational Linguistics (ACL), Sydney, Australia | July 2006 | AI | [PDF]
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| Non-Local Modeling with a Mixture of PCFGs | S. Petrov, L. Barrett, and D. Klein | Proceedings of the 10th International Conference on Conference of Computational Natural Language Learning (CoNLL-X), New York, New York | June 2006 | AI | |
| Putting FrameNet Data into the ISO Linguistic Annotation FrameWork | S. Narayanan, M.R.L. Petruck, C.F. Baker, and C.J. Fillmore | Proceedings of the ACL 2003 Workshop on Linguistic Annotation: Getting the Model Right, Sapporo, Japan | 2003 | AI | |
| OCCAM: Ontology-Based Computational Contextual Analysis and Modeling | S. Narayanan, K. Sievers, and S. Maiorano | Modeling and Using Context, pp. 356-368, Springer Berlin/Heidelberg | 2007 | AI | |
| FrameNet Meets the Semantic Web: A DAML+OIL Frame Representation | S. Narayanan, C.J. Fillmore, C.F. Baker, and M.R.L. Petruck | Proceedings of the The Eighteenth National Conference on Artificial Intelligence. Edmonton, Canada | 2002 | AI | |
| FrameNet Meets the Semantic Web: Lexical Semantics for the Web | S. Narayanan, C. Baker, C. Fillmore, and M. Petruck | In Fensel, Dieter, Katia Sycara and John Mylopoulos (Eds.) The Semantic Web - ISWC 2003: 771-787. Springer-Verlag, Berlin | 2003 | AI | |
| Model-Based Answer Selection | S. Narayanan and S. Sinha | Proceedings of the Workshop on Textual Inference for Question Answering at the 20th National Conference on Artificial Intelligence, Pittsburgh, Pennsylvania | July 2005 | AI | |
| Analysis and Simulation of Web Services | S. Narayanan and S. McIlraith | Computer Networks (accepted for publication). | 2003 | AI | |
| Analysis and Simulation of Web Services | S. Narayanan and S. McIllraith | Computer Networks, Vol. 42, pp. 675-693, Elsevier Science B.V. | 2003 | AI | [PDF]
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| Semantic Structures for Question Answering | S. Narayanan and S. Harabagiu | Proceedings of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Conference (NAACL HLT 2004), Boston, Massachusetts | May 2004 | AI | |
| Answering Questions Using Advanced Semantics and Probabilistic Inference | S. Narayanan and S. Harabagiu | Proceedings of the Pragmatics of Question Answering Workshop at the North American Chapter of the Association for Computational Linguistics Human Language Technologies Conference (NAACL HLT 2004), Boston, Massachusetts | May 2004 | AI | |
| Question Answering based on Semantic Structures | S. Narayanan and S. Harabagiu | The 20th International Conference on Computational Linguistics (COLING 2004), Geneva, Switzerland | August 2004 | AI | |
| CPRM: An Expressive Probabilistic Framework for Reasoning About Event Structure | S. Narayanan and J. Feldman | Submitted for publication, 2004 | 2004 | AI | |
| Computational Cognitive Semantics | S. Narayanan | Invited talk at the Second International Workshop on Natural Language Understanding and Cognitive Science (NLUCS 2005), Miami, Florida | May 2005 | AI | |
| KARMA: Knowledge-Based Active Representations For Metaphor and Aspect | S. Narayanan | Ph.D. Dissertation, Computer Science Division, University of California, Berkeley | 1997 | AI | |
| The role of cortico-basal-thalamic loops in cognition: a computational model and preliminary results | S. Narayanan | Neurocomputing, Vol. 52-54, pp. 605-614, Elsevier Science, B.V. | 2003 | AI | |
