Connectionist Natural Language Processing: Readings from “Connection Science”
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Connectionist Natural Language Processing: Readings from “Connection Science”, Dante Gatteschi, 9780792315421
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Connectionism and Cognitive Linguistics; C.L. Harris. A Connectionist Model of Motion and Government on Chomsky’s Government-binding Theory; J. Rager, G. Berg. Syntactic Transformations on Distributed Representations; D.J. Chalmers. Syntactic Neural Networks; S.M. Lucas, R.I. Damper. Incremental Syntactic Tree Formation in Human Sentence Processing: A Cognitive Architecture Based on Activation Decay and Simulated Annealing; G. Kempen, T. Vosse. A Hybrid Symbolic/Connectionist Model for Noun Phrase Understanding; S. Wermter, W.G. Lehnert. Connectionism & Determinism in a Syntactic Parser; S.C. Kwasny, K.A. Faisal. A Single Layer Higher Order Neural Net and its Application to Context Free Grammar Recognition; P.J. Wyard, C. Nightingale. Connectionist Language Users; R.B. Allen. Script Recognition with Hierarchical Feature Maps; R. Miikkulainen. Learning Distributed Representations of Conceptual Knowledge and their Application to Script-based Story Processing; G. Lee, M. Flowers, M.G. Dyer. A Hybrid Model of Script Generation: or Getting the Best from Both Worlds; S.M. Mannes, S.M. Doane. Identification of Topical Entities in Discourse: a Connectionist Approach to Attentional Mechanisms in Language; L.F.R. Karen. The Role of Similarity in Hungarian Vowel Harmony: a Connectionist Account; M. Hare. Representation and Recognition of Temporal Patterns; R.F. Port. Networks that Learn about Phonological Feature Persistence; M. Gasser, Chan-Do Lee. Pronunciation of Digit Sequences in Text-to-Speech Systems; W.A. Ainsworth, N.P. Warren. Index.
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