Connectionist Natural Language Processing


Connectionist Natural Language Processing
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Connectionist Natural Language Processing


Connectionist Natural Language Processing
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Author : Noel Sharkey
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Connectionist Natural Language Processing written by Noel Sharkey and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Language Arts & Disciplines categories.


Connection science 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, philosophy, linguistics, biology, engineering, neuroscience and AI. Work in Connectionist Natural Language Processing (CNLP) is now expanding rapidly, yet much of the work is still only available in journals, some of them quite obscure. 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 in Connectionist natural language processing; from speech recognition to discourse comprehension. While it is quintessentially Connectionist, it also deals with hybrid systems, and will be of interest to both theoreticians as well as computer modellers. Range of topics covered: Connectionism and Cognitive Linguistics Motion, Chomsky's Government-binding Theory Syntactic Transformations on Distributed Representations Syntactic Neural Networks A Hybrid Symbolic/Connectionist Model for Understanding of Nouns Connectionism and Determinism in a Syntactic Parser Context Free Grammar Recognition Script Recognition with Hierarchical Feature Maps Attention Mechanisms in Language Script-Based Story Processing A Connectionist Account of Similarity in Vowel Harmony Learning Distributed Representations Connectionist Language Users Representation and Recognition of Temporal Patterns A Hybrid Model of Script Generation Networks that Learn about Phonological Features Pronunciation in Text-to-Speech Systems



Connectionist Approaches To Natural Language Processing


Connectionist Approaches To Natural Language Processing
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Author : R G Reilly
language : en
Publisher: Routledge
Release Date : 2016-07-22

Connectionist Approaches To Natural Language Processing written by R G Reilly and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-22 with Psychology categories.


Originally published in 1992, when connectionist natural language processing (CNLP) was a new and burgeoning research area, this book represented a timely assessment of the state of the art in the field. It includes contributions from some of the best known researchers in CNLP and covers a wide range of topics. The book comprises four main sections dealing with connectionist approaches to semantics, syntax, the debate on representational adequacy, and connectionist models of psycholinguistic processes. The semantics and syntax sections deal with a variety of approaches to issues in these traditional linguistic domains, covering the spectrum from pure connectionist approaches to hybrid models employing a mixture of connectionist and classical AI techniques. The debate on the fundamental suitability of connectionist architectures for dealing with natural language processing is the focus of the section on representational adequacy. The chapters in this section represent a range of positions on the issue, from the view that connectionist models are intrinsically unsuitable for all but the associationistic aspects of natural language, to the other extreme which holds that the classical conception of representation can be dispensed with altogether. The final section of the book focuses on the application of connectionist models to the study of psycholinguistic processes. This section is perhaps the most varied, covering topics from speech perception and speech production, to attentional deficits in reading. An introduction is provided at the beginning of each section which highlights the main issues relating to the section topic and puts the constituent chapters into a wider context.



Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing


Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing
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Author : Stefan Wermter
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-03-15

Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing written by Stefan Wermter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-03-15 with Computers categories.


This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.



Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing


Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing
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Author : Stefan Wermter
language : en
Publisher: Springer
Release Date : 2014-03-12

Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing written by Stefan Wermter and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-12 with Computers categories.


This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.



Subsymbolic Natural Language Processing


Subsymbolic Natural Language Processing
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Author : Risto Miikkulainen
language : en
Publisher: MIT Press
Release Date : 1993

Subsymbolic Natural Language Processing written by Risto Miikkulainen and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.


Risto Miikkulainen draws on recent connectionist work in language comprehension tocreate a model that can understand natural language. Using the DISCERN system as an example, hedescribes a general approach to building high-level cognitive models from distributed neuralnetworks and shows how the special properties of such networks are useful in modeling humanperformance. In this approach connectionist networks are not only plausible models of isolatedcognitive phenomena, but also sufficient constituents for complete artificial intelligencesystems.Distributed neural networks have been very successful in modeling isolated cognitivephenomena, but complex high-level behavior has been tractable only with symbolic artificialintelligence techniques. Aiming to bridge this gap, Miikkulainen describes DISCERN, a completenatural language processing system implemented entirely at the subsymbolic level. In DISCERN,distributed neural network models of parsing, generating, reasoning, lexical processing, andepisodic memory are integrated into a single system that learns to read, paraphrase, and answerquestions about stereotypical narratives.Miikkulainen's work, which includes a comprehensive surveyof the connectionist literature related to natural language processing, will prove especiallyvaluable to researchers interested in practical techniques for high-level representation,inferencing, memory modeling, and modular connectionist architectures.Risto Miikkulainen is anAssistant Professor in the Department of Computer Sciences at The University of Texas atAustin.



A Connectionist Language Generator


A Connectionist Language Generator
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Author : Nigel Ward
language : en
Publisher: Intellect (UK)
Release Date : 1994

A Connectionist Language Generator written by Nigel Ward and has been published by Intellect (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.


Based on the author's thesis (Ph. D.)--University of California at Berkeley.



High Level Connectionist Models


High Level Connectionist Models
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Author : John A. Barnden
language : en
Publisher: Intellect (UK)
Release Date : 1991

High Level Connectionist Models written by John A. Barnden and has been published by Intellect (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.


Presenting research on the computational abilities of connectionist, neural, and neurally inspired systems, this series emphasizes the question of how connectionist or neural network models can be made to perform rapid, short-term types of computation useful in higher cognitive processes. The most recent volumes are directed mainly at researchers in connectionism, analogy, metaphor, and case-based reasoning, but are also suitable for graduate courses in those areas.



Theoretical Issues In Natural Language Processing


Theoretical Issues In Natural Language Processing
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Author : Yorick Wilks
language : en
Publisher: Psychology Press
Release Date : 2018-10-24

Theoretical Issues In Natural Language Processing written by Yorick Wilks and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-24 with Psychology categories.


Accompanying continued industrial production and sales of artificial intelligence and expert systems is the risk that difficult and resistant theoretical problems and issues will be ignored. The participants at the Third Tinlap Workshop, whose contributions are contained in Theoretical Issues in Natural Language Processing, remove that risk. They discuss and promote theoretical research on natural language processing, examinations of solutions to current problems, development of new theories, and representations of published literature on the subject. Discussions among these theoreticians in artificial intelligence, logic, psychology, philosophy, and linguistics draw a comprehensive, up-to-date picture of the natural language processing field.



Parallel Natural Language Processing


Parallel Natural Language Processing
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Author : Geert Adriaens
language : en
Publisher: Intellect Books
Release Date : 1994

Parallel Natural Language Processing written by Geert Adriaens and has been published by Intellect Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.


Parallel processing is not only a general topic of interest for computer scientists and researchers in artificial intelligence, but it is gaining more and more attention in the community of scientists studying natural language and its processing (computational linguists, AI researchers, psychologists). The growing need to integrate large divergent bodies of knowledge in natural language processing applications, or the belief that massively parallel systems are the only ones capable of handling the complexities and subtleties of natural language, are just two examples of the reasons for this increasing interest.



Connectionist Psycholinguistics


Connectionist Psycholinguistics
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Author : Morten H. Christiansen
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2001-08-30

Connectionist Psycholinguistics written by Morten H. Christiansen and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-08-30 with Social Science categories.


Setting forth the state of the art, leading researchers present a survey on the fast-developing field of Connectionist Psycholinguistics: using connectionist or neural networks, which are inspired by brain architecture, to model empirical data on human language processing. Connectionist psycholinguistics has already had a substantial impact on the study of a wide range of aspects of language processing, ranging from inflectional morphology, to word recognition, to parsing and language production. Christiansen and Chater begin with an extended tutorial overview of Connectionist Psycholinguistics which is followed by the latest research by leading figures in each area of research. The book also focuses on the implications and prospects for connectionist models of language, not just for psycholinguistics, but also for computational and linguistic perspectives on natural language. The interdisciplinary approach will be relevant for, and accessible to psychologists, cognitive scientists, linguists, philosophers, and researchers in artificial intelligence.