Publication Search Results

Titlesort ascendingAuthorBibliographicDateGroupLinks
Is Memory Still a Mystery?J.A. FeldmanProceedings of the Cold Spring Harbor Symposium on Models of Specific SystemsAugust 1979AI
Introducing Sign-Based Construction GrammarI. A. Sag, H. C. Boas, and P. KayIn Sign-Based Construction Grammar, H. C. Boas and I. A. Sag, eds., pp. 1-28, Center for the Study of Language and Information 2012AI
Integration of Form Across Saccadic Eye MovementsJ.A. Feldman, M. Hayhoe, and J. LachterPerception, Vol. 20, No. 3, pp. 393-402June 1991AI
Integrating multi-sensory input in the body model, an RNN approach to connect proprioception, visual features and motor controlM. SchillingProceedings of the International Joint Conference on Neural Networks (IJCNN 2011), San Jose, CaliforniaJuly 2011AI[PDF]

Integrating Metaphor Information into RDF/OWL EuroWordNetE. W. De Luca and B. Lonneker-RodmanProceedings of the 6th International Conference on Language Resources and Evaluation (LREC 2008), Marrakech, Morocco, pp. 422-428May 2008AI[PDF]

Information Organisation Issues in Multimedia Retrieval using Low-Level FeaturesF. Hopfgartner, R. Ren, T. Urruty, and J. M. JoseIn Multimedia Semantics: Metadata, Analysis and Interaction, R. Troncy, B. Huet and S. Schenk, eds., Chapter 14, pp. 241-260, Wiley 2011AI
Infinitives in Comparatives: Canonical Syntax Meets Quirky SemanticsR. Lee-GoldmanPresented at 83rd Annual Meeting of the Linguistic Society of America, San Francisco, CaliforniaJanuary 2009AI[PDF]

Infants learning algebraic rulesL. ShastriScience, Vol. 285, Issue 5434, pp. 1673September 1999AI
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]

Individual and Population Differences in Focal ColorsM. A. Webster and P. KayIn The Anthropology of Color: Interdisciplinary Multilevel Modeling, R.E. MacLaury, G. V. Paramei, and D. Dedrick, eds., pp. 29-54, John Benjamins 2006AI
Indirect Evidence and the Poverty of the Stimulus: The Case of Anaphoric OneS. Foraker, T. Regier, N. Khetarpal, A. Perfors, and J. TenenbaumCognitive Science, Vol. 33, No. 2, pp. 287-300March 2009AI[PDF]

Improving the Quality of FrameNetJ. Scheffczyk and M. EllsworthProceedings of the Workshop on Quality Assurance and Quality Measurement for Language and Speech Resources, Genoa, Italy, pp. 8-13May 2006AI
If a Canoe Can Be Carved from Every Log Why Can't a Log Be Carved into Every Canoe?P. KayPresented at Frames and Constructions, Berkeley, CaliforniaJuly 2009AI[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]

How Hard A Problem Would This Be To Solve?P. Kay and I. A. SagProceedings of the 16th International Conference on Head-Driven Phrase Structure Grammar (HPSG 2009), Goettingen, GermanyJuly 2009AI[PDF]

High Level Programming for Distributed ComputingJ.A. FeldmanCommunications of the ACM, Vol. 22, Issue 6, pp. 353-368. Reprinted in Distributed Computing: Concepts and Implementations, P. L. McEntire, J. G. O'Reilly and R. E. Larson (eds.), IEEE Press, New York 1979AI
Herds of Wildebeest, Flasks of Vodka, Heaps of Trouble: An Embodied Construction Grammar Approach to English Measure PhrasesE. Dodge and A.C. WrightJ. Larson and M. Paster (Eds.) Proceedings of the 28th Annual Meeting of the Berkeley Linguistics Society: 75-86. 2002AI[PDF]

Hemispheric Sensitivity to Body Stimuli in Simple Reaction TimeL. Aziz-Zadeh, M. Iacoboni, and E. ZaidelExperimental Brain Research, Vol. 170, No. 1, pp. 116-121November 2005AI
Hebrew University Production LanguageJ.A. Feldman, S. Tsur, and D. LehmanHebrew University, Computer Science DepartmentFebruary 1971AI
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
Grounded learning of grammatical constructionsN. Chang and T. MaiaProceedings of the Association for the Advancement of Artificial Intelligence 2001 Spring Symposium on Learning Grounded Representations, Stanford, CaliforniaMarch 2001AI
Grammatical Inference and Grammatical ComplexityJ.A. Feldman, et.alCS 125, Stanford University, Computer Science Department, Stanford, CaliforniaMay 1969AI
Good, Great, Excellent: Global Inference of Lexical IntensitiesG. de Melo and M. BansalTo appear in the Transactions of the Association for Computational Linguistics 2013AI
Getting a Computer to See Simple ScenesJ.A. FeldmanIEEE Student JournalSeptember 1970AI
Further Evidence That Whorfian Effects Are Stronger in the Right Visual Field Than the LeftG. V. Drivonikou, P. Kay, T. Regier, R. B. Ivry, A. L. Gilbert, A. Franklin, and I. R. L. DaviesProceedings of the National Academy of Sciences of the United States of America, Vol. 104, No. 3, pp. 1097-1102. DOI:10.1073/pnas.0610132104.January 2007AI[PDF]

From Transient Patterns to Persistent Structures: A model of episodic memory formation via cortic-hippocampal interactionsL. ShastriBehavioral and Brain Science, in revisionJanuary 2004AI[PDF]

From simple associations to systematic reasoningL. Shastri and V. AjjanagaddeBehavioral and Brain Sciences, Vol. 16, No. 3, pp. 417-494. 1993AI
From Sensorimotor Graphs to Rules: An Agent Learns from a Stream of ExperienceM. Raab, M. Wernsdorfer, E. Kitzelmann, and U. SchmidProceedings of the Fourth International Artificial General Intelligence Conference (AGI 2011), Mountain View, California, Vol. 6830, pp. 333-339August 2011AI[PDF]

From Relativization to Clause-Linkage: Evidence from Modern JapaneseK.H. OharaIn Grammatical Constructions: Back to the Roots, M. Fried, and H. C. Boas, eds., pp. 57-70, John Benjamins Publishing Company 2005AI
From Motion Frames to Grammar: A Usage-Based Model of a Construction LearningN. ChangPresented at Frames and Constructions, Berkeley, CaliforniaJuly 2009AI[PDF]

From Molecule to Metaphor: A Neural Theory of LanguageJ. FeldmanMIT Press, Cambridge, Massachusetts 2006AI
From Frames to InferenceN. Chang, S. Narayanan, and M.R.L. PetruckProceedings of the First International Workshop on Scalable Natural Language Understanding, Heidelberg, Germany 2002AI
From Egocentric Systems to Systems Allowing for Theory of Mind and MutualismH. Cruse and M. SchillingProceedings of the European Conference on Artificial Life (ECAL 11), Paris, France, pp. 184-191August 2011AI
Framing Motion in Hebrew and EnglishM. R. L. PetruckIn Frames, Corpora, and Knowledge Representation, R. Rossini Favretti, ed., Bononia University Press, pp. 43-52 2008AI[PDF]

Framing Causal Events in Japanese and EnglishY. Hasegawa, R. Lee-Goldman, and C. J. FillmorePresented at Frames and Constructions, Berkeley, CaliforniaJuly 2009AI[PDF]

Frames and the Semantics of UnderstandingC. J. FillmoreQuaderni di Semantica, Vol. 6, No. 2, pp. 222-254December 1985AI[PDF]

Frames and Constructions: Putting Them TogetherC. FillmorePresented at Frames and Constructions, Berkeley, CaliforniaJuly 2009AI[PDF]

FrameNet: Frame semantics meets the corpusC.J. Fillmore and C.F. BakerPoster session at The Linguistic Society of AmericaJanuary 2000AI
FrameNet's Frames vs. Levin's Verb ClassesC.F. Baker and J. RuppenhoferProceedings of the 28th Annual Meeting of the Berkeley Linguistics Society , Berkeley, California, pp. 27-38February 2002AI[PDF]

FrameNet's Contribution to Text UnderstandingC.J. Fillmore and C. F. BakerPresentation at the Summer Symposium on Advanced Question Answering for Intelligence (AQUAINT), Boston, MassachusettsAugust 2005AI
FrameNet Meets the Semantic Web: Lexical Semantics for the WebS. Narayanan, C. Baker, C. Fillmore, and M. PetruckIn Fensel, Dieter, Katia Sycara and John Mylopoulos (Eds.) The Semantic Web - ISWC 2003: 771-787. Springer-Verlag, Berlin 2003AI
FrameNet Meets the Semantic Web: A DAML+OIL Frame RepresentationS. Narayanan, C.J. Fillmore, C.F. Baker, and M.R.L. PetruckProceedings of the The Eighteenth National Conference on Artificial Intelligence. Edmonton, Canada 2002AI
FrameNet in Action: The Case of AttachingC.J. Fillmore, M.R.L. Petruck, J. Ruppenhofer, and A. WrightInternational Journal of Lexicography, Vol. 16.3: 297-332 2003AI
FrameNet GlossaryC.J. Fillmore and M.R.L. PetruckInternational Journal of Lexicography, Vol. 16.3: 359-361 2003AI
FrameNet Español: Un Análysis Cognitivo del Léxico del EspañolC. Subirats RüggebergIn Terminologia y Sociedad del Conocimiento, A. Alcina, E. Valero, and E. Rambla, eds., pp. 309-320, Peter Lang 2009AI[PDF]

FrameNet español. Una red semántica de marcos conceptualesC. Subirats-RüggebergCognición y percepción lingüística, Universidad de Valencia and Leipzig University, 182-196 2005AI[PDF]

FrameNet as a "Net"C. J. Fillmore, C. F. Baker, and H. SatoProceedings of the Fourth International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, Portugal, pp. 1091-1094May 2004AI[PDF]

FrameNet and lexicographic relevanceC.J. Fillmore and B.T.S. AtkinsProceedings of the First International Conference on Language Resources and Evaluation, Granada, Spain 1998AI
Frame-semantic Analysis of Motion Scenarios in English, German, Spanish, and JapaneseM. Ellsworth, K. Ohara, C. Subirats Rüggeberg, and T. SchmidtProceedings of Fourth International Conference on Construction Grammar (ICCG4), Tokyo, JapanSeptember 2006AI[PDF]

Frame-Based Contrastic Lexical Semantics in Japanese FrameNet: The Case of Risk and KakeruK. H. OharaIn Multilingual FrameNets in Computational Lexicography: Methods and Applications, H. Boas, ed., pp. 163-182, Mouton de Gruyter 2009AI

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