Publication Search Results

TitleAuthorBibliographicsort descendingDateGroupLinks
Total Complexity and the Inference of Best ProgramsJ.A. Feldman and P.C. ShieldsMathematical Systems Theory, Vol. 10, pp. 181-191 1977AI
Semantic agreement and construalB. Bergen and N. ChangMeeting of the Linguistic Society of America, Washington, DC 2001AI
The Arab Street: Tracking a Political MetaphorT. Regier and M. Ali KhalidiMiddle East Journal, Vol. 63, Issue 1, pp. 11-29 2009AI[PDF]

The Human Semantic Potential: Spatial Language and Constrained ConnectionismT. RegierMIT Press 1996AI
From Molecule to Metaphor: A Neural Theory of LanguageJ. FeldmanMIT Press, Cambridge, Massachusetts 2006AI
The Human Semantic PotentialT. RegierMIT Press, Cambridge, Massachusetts 1996AI
OCCAM: Ontology-Based Computational Contextual Analysis and ModelingS. Narayanan, K. Sievers, and S. MaioranoModeling and Using Context, pp. 356-368, Springer Berlin/Heidelberg 2007AI
A Temporal Extension of the Four Frames ModelJ.A. FeldmanModels of Brain Function, pp. 423-441, Rodney M. J. Cotterill (ed.), Cambridge University Press 1989AI
Treebanks in translation studies - the (CroCo) Dependency TreebankO. Čulo and S. Hansen-SchirraMultilingual Corpora and Multilingual Corpus Analysis. Hamburg Studies in Multilingualism. In print 2012AI
The FrameNet Model and Its ApplicationsB. Loenneker-Rodman and C. F. BakerNatural Language Engineering, Vol. 15, Issue 3, pp. 415-453July 2009AI[PDF]

A (Somewhat) New Solution to the Binding ProblemL. Barrett, J. Feldman, and L. Mac DermedNeural Computation, Vol. 20, Issue 9, pp. 2361-2378 (previously published as ICSI Technical Report in 2006)September 2008AI[PDF]

Rules and variables in neural netsV. Ajjanagadde and L. ShastriNeural Computation, Vol. 3, pp. 121--134 1991AI
Structured Neural Networks in Nature and in Computer ScienceJ.A. FeldmanNeural Computers, R. Eckmiller and C. v.d. Malsburg (eds.), NATO ASI Series, Springer-Verlag 1988AI
Connectionist Symbol Processing: Dead or Alive?A. Jagota, T. Plate, L. Shastri, and R. Sun (eds.)Neural Computing Surveys, Vol. 2, pp. 1-40 1999AI
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
Recruitment of binding and binding-error detector circuits via long-term potentiationL. ShastriNeurocomputing, Vol. 26-27, pp. 865-874 1999AI
A computational model of episodic memory formation in the hippocampal systemL. ShastriNeurocomputing, Vol. 38-40, pp. 889-897 2001AI
The Role of Mid-Dorsolateral Prefrontal Cortex in Working Memory: A Connectionist ModelC. WendelkenNeurocomputing, Vol. 44-46, pp. 1009-1016June 2002AI
A Computationally Efficient Abstraction of Long-term PotentiationL. ShastriNeurocomputing, Vol. 44-46, pp. 33-41June 2002AI[PDF]

The role of cortico-basal-thalamic loops in cognition: a computational model and preliminary resultsS. NarayananNeurocomputing, Vol. 52-54, pp. 605-614, Elsevier Science, B.V. 2003AI
Frame Semantics and Japanese FrameNetK. H. OharaNihongogaku (Japanese Linguistics), Vol. 25, Issue 6, pp. 40-52April 2006AI
Capacity Limitations in the Integration of Information Across SaccadesJ.A. Feldman, M. Hayhoe, and J. LachterPaper presented at ARVO 1991 1991AI
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
A Connectionist Model of Visual MemoryJ.A. FeldmanParallel Models of Associative Memory, pp. 65-97, G. E. Hinton and J. A. Anderson (eds.), Lawrence Erlbaum Associates, Inc., Hillsdale, New Jersey 1981AI
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
Apparent Motion and Other MysteriesJ.A. FeldmanParallel Processing in Neural Systems and Computers, pp. 479-486, R. Eckmiller, G. Hartmann, and G. Hauske (eds.), Elsevier Science Publishers B.V. 1990AI
Energy Methods in Connectionist ModelingJ.A. FeldmanPattern Recognition, Theory and Applications, P. A. Devijver and J. Kittler (eds.), NATO ASI Series in Computer Science, Vol. F30, pp. 223-247, Springer Verlag 1987AI
Integration of Form Across Saccadic Eye MovementsJ.A. Feldman, M. Hayhoe, and J. LachterPerception, Vol. 20, No. 3, pp. 393-402June 1991AI
SHRUTI: A Neurally Motivated Architecture for Rapid, Scalable InferenceL. ShastriPerspectives of Neural-Symbolic Integration (Studies in Computational Intelligence Series, Vol. 77), B. Hammer and P. Hitzler, eds., pp. 183-203, Springer Berlin/Heidelberg 2007AI
A Formal Semantics for Computer Oriented LanguagesJ.A. FeldmanPh.D. Dissertation, Carnegie-Mellon University 1964AI
When Push Comes to Shove: A Computational Model of the Role of Motor Control in the Acquisition of Action VerbsD. BaileyPh.D. Dissertation, Computer Science Division, University of California Berkeley 1997AI
KARMA: Knowledge-Based Active Representations For Metaphor and AspectS. NarayananPh.D. Dissertation, Computer Science Division, University of California, Berkeley 1997AI
Shruti-agent: A structured connectionist architecture for reasoning and decision-makingC. WendelkenPh.D. Thesis, University of California at Berkeley 2003AI
Embodied Language, Best-Fit Analysis, and Formal CompositionalityJ. FeldmanPhysics of Life Review, Vol. 7, No. 4, pp. 385-410, Elsevier. DOI:10.1016/j.plrev.2010.06.006December 2010AI[PDF]

Simulation Semantics can Revitalize the Formalization of MeaningJ. FeldmanPhysics of Life Review, Vol. 7, No. 4, pp. 421-423, ElsevierDecember 2010AI[PDF]

Connectionist Models and Cognitive Science: Goals, Directions and ImplicationsJ.A. Feldman, J.L. McClelland, G. Bower, and D. McDermottPosition paper from NSF Workshop on Connectionist Modeling 1986AI
The FrameNet Data and SoftwareC.F. Baker and H. SatoPoster and Demonstration at Association for Computational Linguistics, Sapporo, Japan. 2003. 2003AI
FrameNet: Frame semantics meets the corpusC.J. Fillmore and C.F. BakerPoster session at The Linguistic Society of AmericaJanuary 2000AI
Towards Automatic ProgrammingJ.A. FeldmanPreprints of the NATO Software Engineering Conference, Rome, Italy 1969AI
Syntagmatic Information from the FrameNet Database: Distinguishing Avoiding and EvadingM.R.L. PetruckPresentation at Linguistic Society of America Annual Meeting, Oakland, CaliforniaJanuary 2005AI
Multiple frame inheritance in lexical descriptionsC.R. JohnsonPresentation at the Annual Meeting of the Linguistic Society of AmericaJanuary 09 1999AI
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
Surprise: Spanish FrameNet!C. Subirats-Rüggeberg and M.R.L. PetruckPresentation at Workshop on Frame Semantics, International Congress of Linguists. Prague, Czech Republic.July 29 2003AI[PDF]

All in a Day's WeekM.R.L. Petruck and H.C. BoasPresentation at Workshop on Frame Semantics. Prague, Czech RepublicJuly 29 2003AI
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]

Corpus-Based Analysis and Annotation of ConstructionsR. Lee-Goldman and R. RhodesPresented at Frames and Constructions, Berkeley, CaliforniaJuly 2009AI[PDF]

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

Spanish FrameNet in Question AnsweringC. Subirats, O. Ferrandez, and M. OrtegaPresented at Frames and Constructions, Berkeley, CaliforniaJuly 2009AI
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]

From Motion Frames to Grammar: A Usage-Based Model of a Construction LearningN. ChangPresented at Frames and Constructions, Berkeley, CaliforniaJuly 2009AI[PDF]

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