A Connectionist Model For Natural Language Understanding

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Connectionist Approaches to Natural Language Processing

Author : R G Reilly
Publisher : Routledge
ISBN 13 : 1317266307
Total Pages : 472 pages
Book Rating : 4.3/5 (172 download)

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Book Synopsis Connectionist Approaches to Natural Language Processing by : R G Reilly

Download or read book Connectionist Approaches to Natural Language Processing written by R G Reilly and published by Routledge. This book was released on 2016-07-22 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Subsymbolic Natural Language Processing

Author : Risto Miikkulainen
Publisher : MIT Press
ISBN 13 : 9780262132909
Total Pages : 422 pages
Book Rating : 4.1/5 (329 download)

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Book Synopsis Subsymbolic Natural Language Processing by : Risto Miikkulainen

Download or read book Subsymbolic Natural Language Processing written by Risto Miikkulainen and published by MIT Press. This book was released on 1993 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Hybrid Connectionist Natural Language Processing

Author : Stefan Wermter
Publisher :
ISBN 13 :
Total Pages : 208 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Hybrid Connectionist Natural Language Processing by : Stefan Wermter

Download or read book Hybrid Connectionist Natural Language Processing written by Stefan Wermter and published by . This book was released on 1995 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Connectionist Natural Language Processing

Author : Noel Sharkey
Publisher : Springer Science & Business Media
ISBN 13 : 9401126240
Total Pages : 385 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Connectionist Natural Language Processing by : Noel Sharkey

Download or read book Connectionist Natural Language Processing written by Noel Sharkey and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Psycholinguistics

Author : Morten H. Christiansen
Publisher : Bloomsbury Publishing USA
ISBN 13 : 0313073813
Total Pages : 399 pages
Book Rating : 4.3/5 (13 download)

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Book Synopsis Connectionist Psycholinguistics by : Morten H. Christiansen

Download or read book Connectionist Psycholinguistics written by Morten H. Christiansen and published by Bloomsbury Publishing USA. This book was released on 2001-08-30 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Natural Language Processing

Author : Robert Dale
Publisher : CRC Press
ISBN 13 : 0824746341
Total Pages : 1015 pages
Book Rating : 4.8/5 (247 download)

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Book Synopsis Handbook of Natural Language Processing by : Robert Dale

Download or read book Handbook of Natural Language Processing written by Robert Dale and published by CRC Press. This book was released on 2000-07-25 with total page 1015 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Analogical Connections

Author : Keith James Holyoak
Publisher : Intellect (UK)
ISBN 13 :
Total Pages : 520 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Analogical Connections by : Keith James Holyoak

Download or read book Analogical Connections written by Keith James Holyoak and published by Intellect (UK). This book was released on 1994 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 that are useful in higher level 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.

The Cambridge Handbook of Computational Psychology

Author : Ron Sun
Publisher : Cambridge University Press
ISBN 13 : 0521674107
Total Pages : 767 pages
Book Rating : 4.5/5 (216 download)

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Book Synopsis The Cambridge Handbook of Computational Psychology by : Ron Sun

Download or read book The Cambridge Handbook of Computational Psychology written by Ron Sun and published by Cambridge University Press. This book was released on 2008-04-28 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.

The Human Semantic Potential

Author : Terry Regier
Publisher : MIT Press
ISBN 13 : 9780262181730
Total Pages : 246 pages
Book Rating : 4.1/5 (817 download)

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Book Synopsis The Human Semantic Potential by : Terry Regier

Download or read book The Human Semantic Potential written by Terry Regier and published by MIT Press. This book was released on 1996 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on ideas from cognitive linguistics, connectionism, and perception, The Human Semantic Potential describes a connectionist model that learns perceptually grounded semantics for natural language in spatial terms. Languages differ in the ways in which they structure space, and Regier's aim is to have the model perform its learning task for terms from any natural language. The system has so far succeeded in learning spatial terms from English, German, Russian, Japanese, and Mixtec. The model views simple movies of two-dimensional objects moving relative to one another and learns to classify them linguistically in accordance with the spatial system of some natural language. The overall goal is to determine which sorts of spatial configurations and events are learnable as the semantics for spatial terms and which are not. Ultimately, the model and its theoretical underpinnings are a step in the direction of articulating biologically based constraints on the nature of human semantic systems. Along the way Regier takes up such substantial issues as the attraction and the liabilities of PDP and structured connectionist modeling, the problem of learning without direct negative evidence, and the area of linguistic universals, which is addressed in the model itself. Trained on spatial terms from different languages, the model permits observations about the possible bases of linguistic universals and interlanguage variation.

Connectionist Approaches to Natural Language Processing

Author : R G Reilly
Publisher : Routledge
ISBN 13 : 1317266315
Total Pages : 489 pages
Book Rating : 4.3/5 (172 download)

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Book Synopsis Connectionist Approaches to Natural Language Processing by : R G Reilly

Download or read book Connectionist Approaches to Natural Language Processing written by R G Reilly and published by Routledge. This book was released on 2016-07-22 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neural Networks for Vision, Speech and Natural Language

Author : R. Linggard
Publisher : Springer Science & Business Media
ISBN 13 : 9401123608
Total Pages : 450 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Neural Networks for Vision, Speech and Natural Language by : R. Linggard

Download or read book Neural Networks for Vision, Speech and Natural Language written by R. Linggard and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neural Network Methods in Natural Language Processing

Author : Yoav Goldberg
Publisher : Morgan & Claypool Publishers
ISBN 13 : 162705295X
Total Pages : 311 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Neural Network Methods in Natural Language Processing by : Yoav Goldberg

Download or read book Neural Network Methods in Natural Language Processing written by Yoav Goldberg and published by Morgan & Claypool Publishers. This book was released on 2017-04-17 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

New Methods In Language Processing

Author : D. B. Jones
Publisher : Routledge
ISBN 13 : 1134227450
Total Pages : 419 pages
Book Rating : 4.1/5 (342 download)

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Book Synopsis New Methods In Language Processing by : D. B. Jones

Download or read book New Methods In Language Processing written by D. B. Jones and published by Routledge. This book was released on 2013-11-05 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Algebraic Mind

Author : Gary F. Marcus
Publisher : MIT Press
ISBN 13 : 0262354403
Total Pages : 241 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis The Algebraic Mind by : Gary F. Marcus

Download or read book The Algebraic Mind written by Gary F. Marcus and published by MIT Press. This book was released on 2019-01-01 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: In The Algebraic Mind, Gary Marcus attempts to integrate two theories about how the mind works, one that says that the mind is a computer-like manipulator of symbols, and another that says that the mind is a large network of neurons working together in parallel. Resisting the conventional wisdom that says that if the mind is a large neural network it cannot simultaneously be a manipulator of symbols, Marcus outlines a variety of ways in which neural systems could be organized so as to manipulate symbols, and he shows why such systems are more likely to provide an adequate substrate for language and cognition than neural systems that are inconsistent with the manipulation of symbols. Concluding with a discussion of how a neurally realized system of symbol-manipulation could have evolved and how such a system could unfold developmentally within the womb, Marcus helps to set the future agenda of cognitive neuroscience.

Speech & Language Processing

Author : Dan Jurafsky
Publisher : Pearson Education India
ISBN 13 : 9788131716724
Total Pages : 912 pages
Book Rating : 4.7/5 (167 download)

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Book Synopsis Speech & Language Processing by : Dan Jurafsky

Download or read book Speech & Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Encyclopedia of Information Systems and Technology - Two Volume Set

Author : Phillip A. Laplante
Publisher : CRC Press
ISBN 13 : 1000031748
Total Pages : 1307 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Encyclopedia of Information Systems and Technology - Two Volume Set by : Phillip A. Laplante

Download or read book Encyclopedia of Information Systems and Technology - Two Volume Set written by Phillip A. Laplante and published by CRC Press. This book was released on 2015-12-29 with total page 1307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spanning the multi-disciplinary scope of information technology, the Encyclopedia of Information Systems and Technology draws together comprehensive coverage of the inter-related aspects of information systems and technology. The topics covered in this encyclopedia encompass internationally recognized bodies of knowledge, including those of The IT BOK, the Chartered Information Technology Professionals Program, the International IT Professional Practice Program (British Computer Society), the Core Body of Knowledge for IT Professionals (Australian Computer Society), the International Computer Driving License Foundation (European Computer Driving License Foundation), and the Guide to the Software Engineering Body of Knowledge. Using the universally recognized definitions of IT and information systems from these recognized bodies of knowledge, the encyclopedia brings together the information that students, practicing professionals, researchers, and academicians need to keep their knowledge up to date. Also Available Online This Taylor & Francis encyclopedia is also available through online subscription, offering a variety of extra benefits for researchers, students, and librarians, including: Citation tracking and alerts Active reference linking Saved searches and marked lists HTML and PDF format options Contact Taylor and Francis for more information or to inquire about subscription options and print/online combination packages. US: (Tel) 1.888.318.2367; (E-mail) [email protected] International: (Tel) +44 (0) 20 7017 6062; (E-mail) [email protected]

Deep Learning for NLP and Speech Recognition

Author : Uday Kamath
Publisher : Springer
ISBN 13 : 3030145964
Total Pages : 640 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Deep Learning for NLP and Speech Recognition by : Uday Kamath

Download or read book Deep Learning for NLP and Speech Recognition written by Uday Kamath and published by Springer. This book was released on 2019-06-10 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.