Publication Search Results

TitleAuthorsort descendingBibliographicDateGroupLinks
OCCAM: Ontology-Based Computational Contextual Analysis and ModelingS. Narayanan, K. Sievers, and S. MaioranoModeling and Using Context, pp. 356-368, Springer Berlin/Heidelberg 2007AI
Putting FrameNet Data into the ISO Linguistic Annotation FrameWorkS. Narayanan, M.R.L. Petruck, C.F. Baker, and C.J. FillmoreProceedings of the ACL 2003 Workshop on Linguistic Annotation: Getting the Model Right, Sapporo, Japan 2003AI
Non-Local Modeling with a Mixture of PCFGsS. Petrov, L. Barrett, and D. KleinProceedings of the 10th International Conference on Conference of Computational Natural Language Learning (CoNLL-X), New York, New YorkJune 2006AI
Learning Accurate, Compact, and Interpretable Tree AnnotationS. Petrov, L. Barrett, R. Thibeaux, and D. KleinProceedings of the 44th Annual Meeting of the Association of Computational Linguistics (ACL), Sydney, AustraliaJuly 2006AI[PDF]

Learning Automata from Ordered ExamplesS. Porat and J.A. FeldmanMachine Learning, Vol. 7, pp. 109-138 1991AI
Answering Questions about Complex EventsS. SinhaUC Berkeley PhD dissertation, Berkeley, CaliforniaDecember 2008AI[PDF]

How to Analyze Various Consumer Data in the Future?T. Kotro, T. Lindh-Knuutila, and E. HiltunenPresented at the 11th International Conference of Finland Futures Research Centre and Finland Futures Academy, Tampere, Finland, pp. 135-143May 2009AI[PDF]

The Human Semantic PotentialT. RegierMIT Press, Cambridge, Massachusetts 1996AI
The Human Semantic Potential: Spatial Language and Constrained ConnectionismT. RegierMIT Press 1996AI
The Emergence of Words: Attentional Learning in Form and MeaningT. RegierCognitive Science, Vol. 29, Issue 6, pp. 819-865January 2005AI
Emergent Constraints on Word-Learning: A Computational ReviewT. RegierTrends in Cognitive Sciences, Vol. 7, Issue 6, pp. 263-268June 2003AI
Constraining Computational Models of CognitionT. RegierEncyclopedia of Cognitive Science, L. Nadel, ed., pp. 611-615, Macmillan 2003AI
Reduplication and the Arbitrariness of the SignT. RegierProceedings of the 20th Annual Conference of the Cognitive Science Society (CogSci 1998), Madison, Wisconsin, pp. 887-892August 1998AI
Grounding Spatial Language in Perception: An Empirical and Computational InvestigationT. Regier and L. CarlsonJournal of Experimental Psychology: General, Vol. 130, No. 2, pp. 273-298June 2001AI
The Arab Street: Tracking a Political MetaphorT. Regier and M. Ali KhalidiMiddle East Journal, Vol. 63, Issue 1, pp. 11-29 2009AI[PDF]

Attention to Endpoints: A Cross-Linguistic Constraint on Spatial MeaningT. Regier and M. ZhengCognitive Science, Vol. 31, Issue 4, pp. 705-719July 2007AI
An Attentional Constraint on Spatial MeaningT. Regier and M. ZhengProceedings of the 25th Annual Conference of the Cognitive Science Society, Boston, Massachusetts, p. 50July 2003AI
Color Naming and SunlightT. Regier and P. KayPsychological Science 15, 288-289January 05 2004AI
Color Naming and Sunlight: Commentary on Lindsey and BrownT. Regier and P. KayPsychological Science, Vol. 15, No. 4, pp. 289-290April 2004AI
Language, Thought, and Color: Whorf Was Half RightT. Regier and P. KayTrends in Cognitive Science, Vol. 13, Issue 10, pp. 439-446October 2009AI[PDF]

Learning the Unlearnable: The Role of Missing EvidenceT. Regier and S. GahlCognition, Vol. 93, No. 2, pp. 147-155September 2004AI
The Emergence of WordsT. Regier, B. Corrigan, R. Cabasaan, A. Woodward, M. Gasser, and L. SmithProceedings of the 23rd Annual Conference of the Cognitive Science Society (CogSci 2001), Edinburgh, Scotland, pp. 815-820August 2001AI
Language and Thought: Which Side Are You On, Anyway?T. Regier, P. Kay, A. Gilbert, and R. IvryIn Words and the Mind: How Words Capture Human Experience, B. Malt and P. Wolff, eds., pp. 165-182, Oxford University Press, 2010 2010AI
Color Naming Reflects Optimal Partitions of Color SpaceT. Regier, P. Kay, and N. KhetarpalProceedings 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 2007AI[PDF]

Color Naming Is Near OptimalT. Regier, P. Kay, and N. KhetarpalProceedings of the 29th Annual Conference of the Cognitive Science Society (CogSci 2007), Nashville, Tennessee, p. 15August 2007AI[PDF]

Focal Colors Are Universal After AllT. Regier, P. Kay, and R. S. CookProceedings 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 2005AI[PDF]

Inductive Rule Learning on the Knowledge LevelU. Schmid and E. KitzelmannCognitive Systems Research, Special Issue on Complex Cognition , Vol. 12, Issues 3-4, pp. 237-248September 2011AI[PDF]

Long-Term Preservation of Digital Documents: Principles and PracticesU.M. Borghoff, P. Roedig, J. Scheffczyk, and L. SchmitzSpringer-Verlag Berlin Heidelberg 2006AI
Rules and variables in neural netsV. Ajjanagadde and L. ShastriNeural Computation, Vol. 3, pp. 121--134 1991AI
Learning New Color Names Produces Rapid Increase in Gray Matter in the Intact Adult Human CortexV. Kwok, Z. Niu, P. Kay, K. Zhou, L. Mo, Z. Jin, K.-F. So, and L. H. TanProceedings 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 2011AI[PDF]

Survey on Tools for Content Management in TV Post-ProductionW. Bailer, K. Schoeffmann, and F. HopfgartnerIn TV Content Analysis: Techniques and Applications, Chapter 18, CRC Press 2011AI
Language Regions of Brain Are Operative in Color PerceptionW. T. Siok, P. Kay, W. S. Y. Wang, A. H. D. Chan, L. Chen, K.-K. Luke, and L. H. TanProceedings 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 2009AI[PDF]

An Interview with Prof. Charles J. FillmoreY. Hasegawa and K. OharaThe Rising Generation, Vol. 152, No. 6, pp. 34-39 (in Japanese)August 2006AI
A Study of Paraphrasing in Terms of FrameNet and Frame SemanticsY. Hasegawa, R. Lee-Goldman, A. Kong, K. Ohara, K. Akita, S. Uchida, and C. J. FillmoreProceedings of the 6th International Conference on Construction Grammar (ICCG-6), Prague, Czech RepublicSeptember 2011AI
Framing Causal Events in Japanese and EnglishY. Hasegawa, R. Lee-Goldman, and C. J. FillmorePresented at Frames and Constructions, Berkeley, CaliforniaJuly 2009AI[PDF]

Universality of Frames: Evidence from English-to-Japanese TranslationY. Hasegawa, R. Lee-Goldman, and C. J. FillmoreThe Socio-Pragmatics of Frame Semantics and Construction Grammar. Amsterdam, J.-O. Ostman and M. Fried, eds., John Benjamins 2011AI
On Expressing Measurement and Comparison in Japanese and EnglishY. Hasegawa, R. Lee-Goldman, K. Hirose Ohara, S. Fujii, and C. J. FillmoreIn Contrastive Studies in Construction Grammar, H. C. Boas, ed., pp. 169-198, John Benjamins Publishing Company 2010AI
A Semantics-Based Decision Theory Region AnalyserY. Yakimovsky and J.A. FeldmanProceedings of the International Joint Conference on Artificial Intelligence (IJCAI 1973), Stanford, California, pp. 580-588August 1973AI

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