Publication Search Results

Titlesort descendingAuthorBibliographicDateGroupLinks
FrameNet: Frame semantics meets the corpusC.J. Fillmore and C.F. BakerPoster session at The Linguistic Society of AmericaJanuary 2000AI
Frames and Constructions: Putting Them TogetherC. 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]

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

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]

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
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 Molecule to Metaphor: A Neural Theory of LanguageJ. FeldmanMIT Press, Cambridge, Massachusetts 2006AI
From Motion Frames to Grammar: A Usage-Based Model of a Construction LearningN. ChangPresented at Frames and Constructions, Berkeley, CaliforniaJuly 2009AI[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 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 simple associations to systematic reasoningL. Shastri and V. AjjanagaddeBehavioral and Brain Sciences, Vol. 16, No. 3, pp. 417-494. 1993AI
From Transient Patterns to Persistent Structures: A model of episodic memory formation via cortic-hippocampal interactionsL. ShastriBehavioral and Brain Science, in revisionJanuary 2004AI[PDF]

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]

Getting a Computer to See Simple ScenesJ.A. FeldmanIEEE Student JournalSeptember 1970AI
Good, Great, Excellent: Global Inference of Lexical IntensitiesG. de Melo and M. BansalTo appear in the Transactions of the Association for Computational Linguistics 2013AI
Grammatical Inference and Grammatical ComplexityJ.A. Feldman, et.alCS 125, Stanford University, Computer Science Department, Stanford, CaliforniaMay 1969AI
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
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
Hebrew University Production LanguageJ.A. Feldman, S. Tsur, and D. LehmanHebrew University, Computer Science DepartmentFebruary 1971AI
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
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]

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
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]

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]

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]

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
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]

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
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]

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

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
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]

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]

Integration of Form Across Saccadic Eye MovementsJ.A. Feldman, M. Hayhoe, and J. LachterPerception, Vol. 20, No. 3, pp. 393-402June 1991AI
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
Is Memory Still a Mystery?J.A. FeldmanProceedings of the Cold Spring Harbor Symposium on Models of Specific SystemsAugust 1979AI
J.A. Feldman and R.F. SproullDecision Theory and Artificial Intelligence II: The Hungry MonkeyIn Cognitive Science, Vol. 2, pp. 158-192. Also reprinted in Planning, Vol. 4, pp. 207-223, J. Allen, J. Hendler, and A. Tate (eds.), Morgan Kaufmann 1977AI
Japanese FrameNet: A Semantically-Tagged CorpusK. Ohara, T. Ohori, R. Suzuki, S. Fujii, H. Saito, and S. IshizakiPresented at the 11th Annual Meeting of the Association for Natural Language Processing, Takamatsu, Japan (in Japanese)March 2005AI
KARMA: Knowledge-Based Active Representations For Metaphor and AspectS. NarayananPh.D. Dissertation, Computer Science Division, University of California, Berkeley 1997AI
Killing Threads Considered DangerousC. Fleiner, J. Feldman, and D. StoutamireProceedings of the Conference on Parallel and Object Oriented Methods and Applications (POOMA) 1996AI
Knowledge fusion in the large - taking a cue from the brainL. Shastri and C. WendelkenProceedings of the Second International Conference on Information Fusion (FUSION'99), Sunnyvale, CaliforniaJuly 1999AI[PDF]

Konventionelle und konnektionische ParallelverbarbeitungJ.A. FeldmanGMD-Spiegel, pp. 58-61June 1991AI
L0 - The First Five Years of an Automated Language Acquisition ProjectJ. Feldman, G. Lakoff , D. Bailey, S. Narayanan, T. Regier, and A. StolckeArtificial Intelligence Review, Vol. 10, Issues 1-2, pp. 103-129 1996AI
La Función del Corpus en FrameNet EspañolC. SubiratsProceedings of the First International Conference on Corpus Linguistics (CILC 09), Murcia, Spain, pp. 1148-1155May 2009AI[PDF]

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
Language Constructs and Support Systems for Distributed ComputingC.S. Ellis, J.A. Feldman, and J.E. HeliotisProceedings of the ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC 1982), Ottawa, Canada, pp. 1-9August 1982AI
Language Constructs and Support Systems for Distributed ComputingJ.A. Feldman and C.S. EllisTR102, Computer Science Department, University of Rochester, New York. Also in Proceedings of Distributed Computing Symposium, Ottawa, Ontario, Canada, August 1982May 1982AI
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]

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