Publication Search Results

Titlesort descendingAuthorBibliographicDateGroupLinks
Language, Thought, and Color: Recent DevelopmentsP. Kay and T. RegierTrends in Cognitive Sciences, Vol. 10, Issue 2, pp. 51-54February 2006AI
Language, Thought, and Color: Whorf Was Half RightT. Regier and P. KayTrends in Cognitive Science, Vol. 13, Issue 10, pp. 439-446October 2009AI[PDF]

Lateralization of Categorical Perception of Color Changes with Color Term AcquisitionA. Franklin, G. V. Drivonikou, A. Clifford, P. Kay, T. Regier, and I. R. L. DaviesProceedings of the National Academy of Sciences of the United States of America, Vol. 105, No. 47, pp. 18221-18225. DOI:10.1073/pnas.0809952105.November 2008AI[PDF]

Lateralization of the Human Mirror Neuron SystemL. Aziz-Zadeh, L. Koski, E. Zaidel, J. Mazziotta, and M. IacoboniJournal of Neuroscience, Vol. 26, Issue 11, pp. 2964-2970March 2006AI
Lateralized Whorf: Language Influences Perceptual Decision in the Right Visual FieldP. Kay, T. Regier, A. L. Gilbert, and R. B. IvryIn Language, Evolution, and the Brain, J. W. Minett and W. S-Y. Wang, eds., pp. 261-284, City University of Hong Kong Press 2009AI[PDF]

Layered hybrid connectionist models for cognitive scienceJ. Feldman and D. BailyProceedings of the International NIPS Workshop on Hybrid Neural Symbolic Integration (NIPS 98), Breckenridge, ColoradoDecember 1998AI
Layered Hybrid Models for Cognitive ScienceD. Bailey and J. FeldmanIn Hybrid Neural Systems, Wermter and Sun (Eds) Springer, pp.14-27 2000AI
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 All Optimal Policies with Multiple CriteriaL. Barrett and S. NarayananProceedings of 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland, pp. 41-47July 2008AI[PDF]

Learning Automata from Ordered ExamplesS. Porat and J.A. FeldmanMachine Learning, Vol. 7, pp. 109-138 1991AI
Learning Automata from Ordered ExamplesJ.A. Feldman and S. PoratProceedings of the COLT Conference, Cambridge, MassachusettsAugust 1988AI
Learning by Seeing--Associative Learning of Visual Features Through Mental Simulation of Observed ActionM. SchillingProceedings of the European Conference on Artificial Life (ECAL 11), Paris, France, pp. 731-738August 2011AI[PDF]

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]

Learning the Unlearnable: The Role of Missing EvidenceT. Regier and S. GahlCognition, Vol. 93, No. 2, pp. 147-155September 2004AI
Lexicographic Relevance: Selecting Information From Corpus EvidenceS. Atkins, C.J. Fillmore, and C.R. JohnsonInternational Journal of Lexicography, Volume 16.3: 251-280. 2003. 2003AI
LINDA: Distributed Web-of-Data-Scale Entity MatchingC. Boehm, G. de Melo, F. Naumann, and G. WeikumProceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), Maui, HawaiiDecember 2012AI
Linguistic and Non-Linguistic Spatial CategorizationL. E. Crawford, T. Regier, and J. HuttenlocherCognition, Vol. 75, No. 3, pp. 209-235June 2000AI
Linking FrameNet to the Suggested Upper Merged OntologyJ. Scheffczyk, A. Pease, and M. EllsworthProceedings of the International Conference on Formal Ontology in Information Systems (FOIS 2006), Baltimore, Maryland, pp. 289-300November 2006AI
Long-Term Preservation of Digital Documents: Principles and PracticesU.M. Borghoff, P. Roedig, J. Scheffczyk, and L. SchmitzSpringer-Verlag Berlin Heidelberg 2006AI
Machine IntelligenceJ.A. FeldmanReview of Numbers I, III of the Machine Intelligence Series, in Information and Control, Vol. 14, pp. 490-492 1969AI
Markov Chains for Robust Graph-Based Commonsense Information ExtractionN. Tandon, D. Rajagopal, and G. de MeloDemo at the 24th International Conference on Computational Linguistics (COLING), Mumbai, IndiaDecember 2012AI
Massively Parallel Computational ModelsJ.A. FeldmanChapter 5 in Quantitative Analyses of Behavior: Vol. 8. Also in Pattern Recognition and Concept Formation in Animals, People, and Machines, M. L. Commons, R. J. Herrnstein, S. M. Kosslyn, and D. B. Mumford (eds.), Harvard University Press 1989AI
Massively Parallel Computational Models of Biological SystemsJ.A. FeldmanProceedings of the Fourth International Conference on Mathematical Modeling, Zurich, SwitzerlandAugust 1983AI
Massively Parallel Knowledge Representation and Reasoning - Taking a Cue from the BrainL. Shastri and D.R. ManiParallel Processing for Artificial Intelligence 3, (Eds.) Geller, J., Kitano, H. and Suttner, C. Elsevier Science 1997AI
May We Come In?C. FillmoreIn Santa Cruz Lectures on Deixis. pp. 1-15 1971AI[PDF]

Memory and Change in Connection NetworksJ.A. FeldmanTR96, Computer Science Department, University of Rochester, New YorkDecember 1981AI
MetaNet: A Multilingual Metaphor RepositoryS. NarayananTo appear in the proceedings of the 12th International Cognitive Linguistics Conference (ICLC), Edmonton, CanadaJune 2013AI
Mini-Grammars of Some-Time When Expressions in EnglishC. J. FillmoreIn Complex Sentences in Grammar and Discourse: Essays in Honor of Sandra A. Thompson, J. Bybee and M. Noonan, eds., pp. 31-59, John Benjamins 2002AI
Miniature Language Acquisition: A Touchstone for Cognitive ScienceJ.A. Feldman, G. Lakoff, A. Stolcke, and S. WeberProceedings of the 12th Annual Conference of the Cognitive Science Society, MIT, Cambridge, Massachusetts, pp. 686-693. Also ICSI Technical Report TR-90-009March 1990AI
Minimizing Deterministic Weighted Tree AutomataA. MalettiProceedings of the 2nd International Conference on Language and Automata: Theory and Applications (LATA 2008), Tarragona, Spain, pp. 357-372March 2008AI[PDF]

Model-Based Answer SelectionS. Narayanan and S. SinhaProceedings of the Workshop on Textual Inference for Question Answering at the 20th National Conference on Artificial Intelligence, Pittsburgh, PennsylvaniaJuly 2005AI
Modeling Embodied Lexical DevelopmentD. Bailey, J. Feldman, S. Narayanan, and G. LakoffComputational Models of Language Understanding 1997AI
Modulation of the FFA and PPA by Language Related to Faces and PlacesL. Aziz-Zadeh, C. Fiebach, S. Narayanan, J. Feldman, E. Dodge, and R. B. IvrySocial Neuroscience, Vol. 3, Issues 3-4, pp. 229-238September 2008AI
Modulation of the FFA and PPA While Listening to Sentences About Faces and PlacesL. Aziz-Zadeh, C. Fiebach, S. Narayanan, J. Feldman, E. Dodge, and R. IvryHuman Brain Mapping Conference (also under review for publication in Neuroimage)June 2006AI
Moral Emotions for Autonomous AgentsA. Gomila and A. AmengualIn Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence, J. Vallverdu and D. Casacuberta, eds., pp. 166-179, IGI Global 2009AI
Multiple frame inheritance in lexical descriptionsC.R. JohnsonPresentation at the Annual Meeting of the Linguistic Society of AmericaJanuary 09 1999AI
Myhill Nerode Theorem for Recognizable Tree Series --- RevisitedA. MalettiProceedings of 8th International Conference on Latin American Theoretical Informatics (LATIN), Rio de Janeiro, Brazil, pp. 106-120April 2008AI[PDF]

Neural Nets, Routines and Semantic NetworksJ.A. Feldman and L. ShastriAdvances in Cognitive Science, N. Sharkey (ed.), Ellis Horwood Publishers 1986AI
Neural Networks, Artificial Intelligence and Computational RealityJ.A. FeldmanComputers in Industry, Vol. 14, pp. 145-148 1990AI
Neural Representations of Conceptual KnowledgeJ.A. FeldmanNeural Connections, Mental Computation, L. Nadel, et al. (eds.), Bradford Books. Also in Review of Cognitive Science, N. Sharkey (ed.), Ablex Publishing Corporation 1989AI
Newly Trained Lexical Categories Produce Lateralized Categorical Perception of ColorK. Zhou, L. Mo, P. Kay, V. P. Y. Kwok, T. N. M. Ip, and L. H. TanProceedings of the National Academy of Sciences of the United States of America, Vol. 107, No. 22, pp. 9974-9978. DOI:10.1073/pnas.1005669107.June 2010AI[PDF]

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
OCCAM: Ontology-Based Computational Contextual Analysis and ModelingS. Narayanan, K. Sievers, and S. MaioranoModeling and Using Context, pp. 356-368, Springer Berlin/Heidelberg 2007AI
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
On intelligence as memory: Book reviewJ. FeldmanArtificial Intelligence, Vol 169, No. 2, pp. 181-183November 2005AI
On Internally Headed Relativization and Clause-Linking Constructions in Modern JapaneseK.H. OharaPaper presented at the 9th International Pragmatics Conference (IPrA), Riva del Garda, ItalyJuly 2005AI
On the Importance of Basic Research in RoboticsJ.A. FeldmanProceedings of the Robotics Research Workshop, Newport, Rhode IslandApril 1980AI
On the Synthesis of Finite-State Machines from Samples of Their BehaviorJ.A. Feldman and A. BiermannIEEE Transactions on Computers, Vol. C-21, No. 6, pp. 592-596June 1972AI
Ontology Driven Contextual Reference Resolution in Embodied Construction GrammarJ. Oliva, J. Feldman, L. Giraldi, and E. DodgeProceedings of the 7th Annual Constraint Solving and Language Processing Workshop (CSLP 2012), Orléans, FranceSeptember 2012AI
Ontology-Based Reasoning about Lexical ResourcesJ. Scheffczyk, C. F. Baker, and S. NarayananProceedings of the Workshop on Interfacing Ontologies and Lexical Resources for Semantic Web Technologies (OntoLex 2006), Genoa, Italy, pp. 1-8May 2006AI

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