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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 Hits 61 – 80 of 96 61 Resolving ambiguities in the extraction of syntactic categories through chunking. Gobet, F; Freudenthal, D; Pine, J M. - : Proceedings of the Sixth International Conference on Cognitive Modeling, 2004 BASE Show details 62 Country Report and Activity from Thailand: Ontology Construction and Maintenance System in Agricultural Domain A. Imsombut; M. Suktarachan; W. Yingsaree... In: http://naist.cpe.ku.ac.th/downloads/publications/2004/Ontology_Construction_and_Maintenance_System_in_Agricultural_Domain.pdf (2004) BASE Show details 63 Automatic and controlled processing in sentence recall: The role of long-term and working memory Matthew A. Lambon Ralpha; Alan D. Baddeleyb In: http://www.york.ac.uk/res/wml/a2004+sentences.pdf (2004) BASE Show details 64 Infants chunk object arrays into sets of individuals Lisa Feigenson; Justin Halberda In: http://www.psy.jhu.edu/~labforchilddevelopment/pdf_files/infantschunk.pdf (2004) BASE Show details 65 Infants chunk object arrays into sets of individuals Lisa Feigenson; Justin Halberda In: http://www.psy.jhu.edu/~halberda/publications/FeigensonHalberda2004.pdf (2004) BASE Show details 66 Journal of Machine Learning Research 2 (2002) 669--693 Submitted 9/01; Published 3/02 Learning Rules and Their Exceptions Herve Dejean Herve; James Hammerton; Miles Osborne... In: http://lcg-www.uia.ac.be/lcg/texts/./ps/dejean.jmlr2002.ps.gz (2002) BASE Show details 67 Learning rules and their exceptions Hervé Déjean; James Hammerton; Miles Osborne... In: http://jmlr.csail.mit.edu/papers/volume2/dejean02a/dejean02a.pdf (2002) BASE Show details 68 Shallow Parsing with PoS Taggers and Linguistic Features Beáta Megyesi; James Hammerton; Miles Osborne... In: http://www.jmlr.org/papers/volume2/megyesi02a/megyesi02a.ps.gz (2002) BASE Show details 69 Shallow Parsing with PoS Taggers and Linguistic Features Beáta Megyesi; James Hammerton; Miles Osborne... In: http://www.speech.kth.se/%7Ebea/megyesi02a.ps (2002) BASE Show details 70 Modeling children’s case marking errors with MOSAIC Croker, S; Pine, J M; Gobet, F. - : Erlbaum, 2001 BASE Show details 71 Réseaux de discrimination en psychologie: L'exemple de CHREST Gobet, F. - : Verlag Hans Huber, 2001 BASE Show details 72 The German statistical grammar model : development, training and linguistic exploitation Schulte im Walde, Sabine; Univ. Stuttgart [u.a.] / SFB 340. - Stuttgart [u.a.], 2000 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 73 A process model of children's early verb use Jones, G; Gobet, F; Pine, J M. - : Erlbaum, 2000 BASE Show details 74 Recognition and Tagging of Compound Verb Groups in Czech Eva Zácková; Lubos Popelínsky; Milos Nepil In: http://lcg-www.uia.ac.be/conll2000/ps/21925zac.ps (2000) BASE Show details 75 Processing capacity defined by relational complexity: Implications for comparative, developmental, and cognitive psychology Halford G.S.; Wilson W.H.; Phillips S.. - : Cambridge University Press (CUP), 1998 BASE Show details 76 Neural Dynamics of Variable Rate Speech Categorization Grossberg, Stephen; Cohen, Michael; Boardman, Ian. - : Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994 Abstract: What is the neural representation of a speech code as it evolves in real time? A neural model of thiss process, called the ARTPHONE model, is developed to quantitatively simulate data concerning segregation and integration of phonetic percepts, as exemplified by the problem of distinguishing "topic" from "top pick" in natural discourse. Psychoacouotic data concerning categorization of stop consonant pairs indicate that the closure time between syllable final (VC) and syllable initial (CV) transitions determines whether consonants are segregated, i.e., perceived as distinct, or integrated, i.e. fused into a single percept. Hearing two stops in a VC CV pair that are phonetically the same, as in "top pick," requires about 150 msec more closure time than hearing two stops in a Vc1-C₂V pair that are phonetically different, as in "odd ball." When the distribution of closure intervals over trials is experimentally varied, subjects' decision boundaries between one-stop and two-stop percepts always occurred near the mean closure interval (Repp, 1980). The neural model traces these properties to clynamical interactions between a working memory for short-term storage of phonetic items and a list categorization network that groups, or chunns, sequences of the phonetic itemss in working memory These interactions autornatically adjust their processing rate to the speech rate via automatic gain control. The speech code in the model is a resonant wave that emerges after bottom-up signals from the working memory select list chunks which, in turn, read out top-down expectations that amplify consistent woking memory items. The resonance between bottom-up abd top-down information develops on a slower time scale than the processing of bottom-up information alone. It focuses attention upon speach groupings in working memory that are expected based upon past experience, while inhibiting speech features that are not expected, as in phonemic restoration. As in other examples drawn from Adaptive Resonance Theory, it is proposed that all conscious speech precepts are resonant events. In the case of VC₁-C₂V pairs, such a resonance may be rapidly reset by inputs, such as C₂, that are inconsistent with a top-down expectation, say if C₁ or, in the absence of a top-down mismatch, by a collapse of resonanct activation due to a habituative process that can take a much longer time to occur, as illustrated by the categorical boundary between VCV-CV. The categorical boundary for integration of VS-CV persists 150 msec longer that that of VC₁-C₂V because of the resonant dynamics that subserve perception of C. These categorization data may thus be understood ass emergent properties of a resonant process that adjusts its dynamics to track the speech rate. ; Air Force Office of Scientific Research (F49620-92-J-0225, ARPA AFOSR 90-0083); Pacific Sierra Research Corporation (PSR 91-6075-2) Keyword: Adaptive Resonance Theory (ART); ART; Attention; Categorization; Chunking; Consviousness; Neural networks; Speech perception; Working memory URL: https://hdl.handle.net/2144/2176 BASE Hide details 77 Using Constraint Grammar for Chunking Eckhard Bick In: http://emmtee.net/oe/nodalida13/conference/27.pdf BASE Show details 78 A Maximum-Entropy Chinese Parser Augmented by Transformation-Based In: http://www.ee.ust.hk/~pascale/Publications/journal/ACM-TASLP-2004.pdf BASE Show details 79 A Maximum-Entropy Chinese Parser Augmented by Transformation-Based Learning Benfeng Chen In: http://www.ee.ust.hk/~bfchen/publication/talip2004.pdf BASE Show details 80 Grammatical Relation Extraction in Arabic Language Othman Ibrahim Hammadi; Mohd Juzaiddin; Ab Aziz In: http://thescipub.com/PDF/jcssp.2012.891.898.pdf BASE Show details Page: 1 2 3 4 5

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