Connectionist Natural Language Processing (Book)
Connectionism is a new information-processing paradigm which attempts to imitate the architecture and process of the brain and brings together researchers from disciplines as diverse as Computer Science, Physics, Psychology, Linguistics, Biology, Engineering, Neuroscience and AI. Work in Connectionist Natural Language Processing (CNLP) is now expanding rapidly. In order to make this research more accessible this book brings together an important and comprehensive set of articles from the journal Connection Science which represent the state of the art Connectionist Natural Language Processing; from speech recognition to discourse comprehension.
Edition
Preface V
Dedication V
Introduction vi
1 Connectionism and Cognitive Linguistics 1
Catherine L Harris
2 A Connectionist Model of Motion and Government on Chomsky's Government-binding Theory 28
John Rager & George Berg
3 Syntactic Transformations on Distributed Representations 46
David J Chalmers
4 Syntactic Neural Networks 56
S M Lucas & R I Damper
5 Incremental Syntactic Tree Formation in Human Sentence Processing: a Cognitive Architecture Based
on Activation Decay and Simulated Annealing 83
Gerard Kempen & Theo Vosse
6 A Hybrid Symbolic/Connectionist Model for Noun Phrase Understanding 101
Stefan Wermter & Wendy G Lehnert
7 Connectionism and Determinism in a Syntactic Parser 119
Stan C Kwasny & Kanaan A Faisal
8 A Single Layer Higher Order Neural Net and its Application to Context Free Grammar Recognition 139
Peter J Wyard & Charles Nightingale
9 Connectionist Language Users 163
Robert B Allen
10 Script Recognition with Hierarchical Feature Maps 196
Risto Miikkulainen
11 Learning Distributed Representations of Conceptual Knowledge and their Application to Script-based Story Processing 215
Guenbee Lee, Margot Flowers & Michael Dyer
12 A Hybrid Model of Script Generation: or Getting the Best from Both Worlds 248
Suzanne M Mannes & Stephanie M Doane
13 Identification of Topical Entities in Discourse: a Connectionist Approach to Attentional Mechanisms in Language 275
Lorraine F R Karen
14 The Role of Similarity in Hungarian Vowel Harmony: a Connectionist Account 295
Mary Hare
15 Representation and Recognition of Temporal Patterns 323
Robert F Port
16 Networks that Learn about Phonological Feature Persistence 349
Michael Gasser & Chan-Do Lee
17 Pronunciation of Digit Sequences in Text-to-Speech Systems 363
WA Ainsworth & NP Warren
Index 372