Connectionist Approaches To Natural Language Processing

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Connectionist Approaches to Natural Language Processing

Author : R G Reilly,Noel Sharkey
Publisher : Routledge
Page : 472 pages
File Size : 41,7 Mb
Release : 2016-07-22
Category : Psychology
ISBN : 9781317266310

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Connectionist Approaches to Natural Language Processing by R G Reilly,Noel Sharkey Pdf

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

Author : Stefan Wermter,Ellen Riloff,Gabriele Scheler
Publisher : Springer Science & Business Media
Page : 490 pages
File Size : 47,6 Mb
Release : 1996-03-15
Category : Computers
ISBN : 3540609253

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Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing by Stefan Wermter,Ellen Riloff,Gabriele Scheler Pdf

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 Approaches to Natural Language Processing

Author : R G Reilly,Noel Sharkey
Publisher : Routledge
Page : 472 pages
File Size : 42,6 Mb
Release : 2016-07-22
Category : Psychology
ISBN : 9781317266303

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Connectionist Approaches to Natural Language Processing by R G Reilly,Noel Sharkey Pdf

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 Natural Language Processing

Author : Noel Sharkey
Publisher : Springer Science & Business Media
Page : 385 pages
File Size : 41,8 Mb
Release : 2012-12-06
Category : Language Arts & Disciplines
ISBN : 9789401126243

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Connectionist Natural Language Processing by Noel Sharkey Pdf

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, Statistical and Symbolic Approaches to Learning for Natural Language Processing

Author : Stefan Wermter,Ellen Riloff,Gabriele Scheler
Publisher : Springer
Page : 474 pages
File Size : 45,9 Mb
Release : 2014-03-12
Category : Computers
ISBN : 3662163403

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Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing by Stefan Wermter,Ellen Riloff,Gabriele Scheler Pdf

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.

Handbook of Natural Language Processing

Author : Robert Dale,Hermann Moisl,Harold Somers
Publisher : CRC Press
Page : 974 pages
File Size : 44,7 Mb
Release : 2000-07-25
Category : Business & Economics
ISBN : 0824790006

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Handbook of Natural Language Processing by Robert Dale,Hermann Moisl,Harold Somers Pdf

This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks. It emphasizes the practical tools to accommodate the selected system.

Connectionist Approaches to Language Learning

Author : David Touretzky
Publisher : Springer Science & Business Media
Page : 151 pages
File Size : 45,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461540083

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Connectionist Approaches to Language Learning by David Touretzky Pdf

arise automatically as a result of the recursive structure of the task and the continuous nature of the SRN's state space. Elman also introduces a new graphical technique for study ing network behavior based on principal components analysis. He shows that sentences with multiple levels of embedding produce state space trajectories with an intriguing self similar structure. The development and shape of a recurrent network's state space is the subject of Pollack's paper, the most provocative in this collection. Pollack looks more closely at a connectionist network as a continuous dynamical system. He describes a new type of machine learning phenomenon: induction by phase transition. He then shows that under certain conditions, the state space created by these machines can have a fractal or chaotic structure, with a potentially infinite number of states. This is graphically illustrated using a higher-order recurrent network trained to recognize various regular languages over binary strings. Finally, Pollack suggests that it might be possible to exploit the fractal dynamics of these systems to achieve a generative capacity beyond that of finite-state machines.

Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches

Author : Boonthum-Denecke, Chutima
Publisher : IGI Global
Page : 439 pages
File Size : 51,9 Mb
Release : 2011-12-31
Category : Computers
ISBN : 9781613504482

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Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches by Boonthum-Denecke, Chutima Pdf

"This book defines the role of advanced natural language processing within natural language processing, and alongside other disciplines such as linguistics, computer science, and cognitive science"--Provided by publisher.

Subsymbolic Natural Language Processing

Author : Risto Miikkulainen
Publisher : MIT Press
Page : 422 pages
File Size : 52,7 Mb
Release : 1993
Category : Computers
ISBN : 0262132907

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Subsymbolic Natural Language Processing by Risto Miikkulainen Pdf

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.

New Methods In Language Processing

Author : D. B. Jones,H. Somers
Publisher : Routledge
Page : 385 pages
File Size : 46,7 Mb
Release : 2013-11-05
Category : Language Arts & Disciplines
ISBN : 9781134227389

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New Methods In Language Processing by D. B. Jones,H. Somers Pdf

Studies in Computational Linguistics presents authoritative texts from an international team of leading computational linguists. The books range from the senior undergraduate textbook to the research level monograph and provide a showcase for a broad range of recent developments in the field. The series should be interesting reading for researchers and students alike involved at this interface of linguistics and computing.

Theoretical Issues in Natural Language Processing

Author : Yorick Wilks
Publisher : Psychology Press
Page : 227 pages
File Size : 49,9 Mb
Release : 2018-10-24
Category : Psychology
ISBN : 9781317717553

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Theoretical Issues in Natural Language Processing by Yorick Wilks Pdf

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.

Neural Networks for Vision, Speech and Natural Language

Author : R. Linggard,D.J. Myers,C. Nightingale
Publisher : Springer Science & Business Media
Page : 450 pages
File Size : 47,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9789401123600

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Neural Networks for Vision, Speech and Natural Language by R. Linggard,D.J. Myers,C. Nightingale Pdf

This book is a collection of chapters describing work carried out as part of a large project at BT Laboratories to study the application of connectionist methods to problems in vision, speech and natural language processing. Also, since the theoretical formulation and the hardware realization of neural networks are significant tasks in themselves, these problems too were addressed. The book, therefore, is divided into five Parts, reporting results in vision, speech, natural language, hardware implementation and network architectures. The three editors of this book have, at one time or another, been involved in planning and running the connectionist project. From the outset, we were concerned to involve the academic community as widely as possible, and consequently, in its first year, over thirty university research groups were funded for small scale studies on the various topics. Co-ordinating such a widely spread project was no small task, and in order to concentrate minds and resources, sets of test problems were devised which were typical of the application areas and were difficult enough to be worthy of study. These are described in the text, and constitute one of the successes of the project.

Cognitive Approach to Natural Language Processing

Author : Bernadette Sharp,Florence Sedes,Wieslaw Lubaszewski
Publisher : Elsevier
Page : 234 pages
File Size : 41,9 Mb
Release : 2017-05-31
Category : Computers
ISBN : 9780081023433

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Cognitive Approach to Natural Language Processing by Bernadette Sharp,Florence Sedes,Wieslaw Lubaszewski Pdf

As natural language processing spans many different disciplines, it is sometimes difficult to understand the contributions and the challenges that each of them presents. This book explores the special relationship between natural language processing and cognitive science, and the contribution of computer science to these two fields. It is based on the recent research papers submitted at the international workshops of Natural Language and Cognitive Science (NLPCS) which was launched in 2004 in an effort to bring together natural language researchers, computer scientists, and cognitive and linguistic scientists to collaborate together and advance research in natural language processing. The chapters cover areas related to language understanding, language generation, word association, word sense disambiguation, word predictability, text production and authorship attribution. This book will be relevant to students and researchers interested in the interdisciplinary nature of language processing. Discusses the problems and issues that researchers face, providing an opportunity for developers of NLP systems to learn from cognitive scientists, cognitive linguistics and neurolinguistics Provides a valuable opportunity to link the study of natural language processing to the understanding of the cognitive processes of the brain

Computational Psycholinguistics

Author : Ton Dijkstra,Koenraad de Smedt
Publisher : Unknown
Page : 437 pages
File Size : 48,5 Mb
Release : 1996
Category : Language Arts & Disciplines
ISBN : 0748404651

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Computational Psycholinguistics by Ton Dijkstra,Koenraad de Smedt Pdf

An analysis of the use of computer simulation models in cognitive approaches to human language processing. Covering the characteristic focus points of current trends in psycholinguistics, the