1st Edition
Connectionist Approaches to Natural Language Processing
Preface 1. Connectionist Natural Language Processing Noel E. Sharkey and Ronan Reilly Part 1: Semantics 2. Distributed Symbol Discovery through Symbol Recirculation: Toward Natural Language Processing in Distributed Connectionist Networks Michael G. Dyer, Margot Flowers and Yih-Jih Alan Wang 3. Representing Meaning Using Microfeatures Richard F. E. Sutcliffe 4. Noun Phrase Analysis with Connectionist Networks Stefan Wermter and Wendy G. Lehnert 5. Parallel Constraint Satisfaction as a Comprehension Mechanism Mark F. St. John and James L. McClelland Part 2: Syntax 6. Self-correcting Connectionist Parsing John E. Rager 7. A Net-linguistic "Earley" Parser H. Schnelle and R. Doust Part 3: Representational Adequacy 8. The Demons and the Beast – Modular and Nodular Kinds of Knowledge Thomas G. Bever 9. Representational Adequacy and the Case for a Hybrid Connectionist/Marker-parsing Model George Berg 10. A Step Toward Sub-symbolic Language Models without Linguistic Representations George Dorffner Part 4: Computational Psycholinguistics 11. Connectionist Models of Speech Perception Dominic W. Massaro 12. Connectionism: A New Breed of Bottom-up Model? Dennis Norris 13. Models of Form-related Priming in Comprehension and Production Padraig G. O’Seaghdha, Gary S. Dell, Robert R. Peterson and Cornell Juliano 14. Reading with Attentional Impairments: A Brain-damaged Model of Neglect and Attentional Dyslexias Michael C. Mozer and Marlene Behrmann. Author Index. Subject Index.
Biography
R G Reilly, Noel Sharkey
