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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 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.

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.

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.

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.

Deep Learning for Natural Language Processing

Author : Jason Brownlee
Publisher : Machine Learning Mastery
ISBN 13 :
Total Pages : 413 pages
Book Rating : 4./5 ( download)

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Book Synopsis Deep Learning for Natural Language Processing by : Jason Brownlee

Download or read book Deep Learning for Natural Language Processing written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2017-11-21 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning methods are achieving state-of-the-art results on challenging machine learning problems such as describing photos and translating text from one language to another. In this new laser-focused Ebook, finally cut through the math, research papers and patchwork descriptions about natural language processing. Using clear explanations, standard Python libraries and step-by-step tutorial lessons you will discover what natural language processing is, the promise of deep learning in the field, how to clean and prepare text data for modeling, and how to develop deep learning models for your own natural language processing projects.

Handbook of Natural Language Processing

Author : Robert Dale
Publisher : CRC Press
ISBN 13 : 9780824790004
Total Pages : 974 pages
Book Rating : 4.7/5 (9 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 974 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.

Connectionism and the Mind

Author : William Bechtel
Publisher : Wiley-Blackwell
ISBN 13 : 9780631207122
Total Pages : 424 pages
Book Rating : 4.2/5 (71 download)

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Book Synopsis Connectionism and the Mind by : William Bechtel

Download or read book Connectionism and the Mind written by William Bechtel and published by Wiley-Blackwell. This book was released on 2002-01-21 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionism and the Mind provides a clear and balanced introduction to connectionist networks and explores theoretical and philosophical implications. Much of this discussion from the first edition has been updated, and three new chapters have been added on the relation of connectionism to recent work on dynamical systems theory, artificial life, and cognitive neuroscience. Read two of the sample chapters on line: Connectionism and the Dynamical Approach to Cognition: http://www.blackwellpublishing.com/pdf/bechtel.pdf Networks, Robots, and Artificial Life: http://www.blackwellpublishing.com/pdf/bechtel2.pdf

Neural Networks for Natural Language Processing

Author : S., Sumathi
Publisher : IGI Global
ISBN 13 : 1799811611
Total Pages : 227 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Neural Networks for Natural Language Processing by : S., Sumathi

Download or read book Neural Networks for Natural Language Processing written by S., Sumathi and published by IGI Global. This book was released on 2019-11-29 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information in today’s advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this data to make it more valuable. NLP improves the interaction between humans and computers, yet there remains a lack of research that focuses on the practical implementations of this trending approach. Neural Networks for Natural Language Processing is a collection of innovative research on the methods and applications of linguistic information processing and its computational properties. This publication will support readers with performing sentence classification and language generation using neural networks, apply deep learning models to solve machine translation and conversation problems, and apply deep structured semantic models on information retrieval and natural language applications. While highlighting topics including deep learning, query entity recognition, and information retrieval, this book is ideally designed for research and development professionals, IT specialists, industrialists, technology developers, data analysts, data scientists, academics, researchers, and students seeking current research on the fundamental concepts and techniques of natural language processing.

Modeling Language, Cognition and Action

Author : Angelo Cangelosi
Publisher : World Scientific Publishing Company Incorporated
ISBN 13 : 9789812563248
Total Pages : 422 pages
Book Rating : 4.5/5 (632 download)

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Book Synopsis Modeling Language, Cognition and Action by : Angelo Cangelosi

Download or read book Modeling Language, Cognition and Action written by Angelo Cangelosi and published by World Scientific Publishing Company Incorporated. This book was released on 2005 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction. Modeling language, cognition and action : from connectionist simulations to embodied neural cognitive systems / Angelo Cangelosi -- Language, perception and action. Lessons from the embodiment of language : why simulating human language comprehension is hard / Arthur M. Glenberg. Associative neural models for biomimetic multi-modal learning in a mirror neuron-based robot / Stefan Wermter, Cornelius Weber and Mark Elshaw. Grounding language in perception : a connectionist model of spatial terms and vague quantifiers / Angelo Cangelosi ... [et al.]. Structured connectionist models of language, cognition and action / Nancy Chang, Jerome Feldman and Srini Narayanan. Predicting the effect of slightly complex utterances / Michael Klein and Kenji Doya. An associative model of cortical language and action processing / Andreas Knoblauch, Heiner Markert and Guenther Palm -- Categorization and language. Carving nature at its joints and carving joints into nature : how labels augment category representations / Gary Lupyan. Language as an aid to categorization : a neural network model of early language acquisition / Marco Mirolli and Domenico Parisi -- Language processing. A connectionist evaluation of schemes to measure difficulty of words based on their phonological structure / Jennifer Hayes and Peter Howell. Sentence comprehension without propositional structure / Stefan L. Frank. Emergence of linguistic features : independent component analysis of contexts / Timo Honkela, Aapo Hyvärinen and Jaakko Väyrynen. Latent linguistic codes for morphemes using independent component analysis / Krista Lagus, Mathias Creutz and Sami Virpioja. A neural network model for natural language : the case of homonymy / Eleni Koutsomitopoulou. Dynamic representation of stack- and queue-like syntactic structures / Andre Grüning. The active role of proper names : evidence from neural network experiments and philosophy of language considerations / Barbara Giolito -- Cooperation and communication. Emergence of communication in embodied agents : co-adapting communicative and non-communicative behaviours / Davide Marocco and Stefano Nolfi. Estimating intentions of others for imitation and cooperation / Norikazu Sugimoto, Kenji Doya and Mitsuo Kawato -- Motor representations and cognition. Mental representations and cognitive behaviour : a recurrent neural network approach / Sirnone Kühn and Holk Cruse. Spatial cognition in action-SCA model : children's gestural imagery in action / Marilyn Panayi and D. M. Roy. Evolving a simulated robotic arm able to grasp objects / Gianluca Massera, Stefano Nolfi and Angelo Cangelosi. Is language necessary to merge geometric and non-geometric spatial cues? The case of the "Blue- Wall Task" / Michela Ponticorvo and Orazio Miglino -- Attention and perception. A neurocognitive theory of attentional modulation of spread of activation / Eddy J. Davelaar. Modelling the attentional blink / Howard Bowman and Bradley Wyble. A model of spatial and object-based attention for active visual search / Linda Lanyon and Susan Denham. Hemispheric asymmetries in the neglect syndrome : a computational study / Andrea Di Ferdinando ... [et al.]. An oscillatory neural model for tracking a moving object / Yakov B. Kazanovich and Roman M. Borisyuk. Selective attention and action in an artificial, evolved agent : reactive inhibition / Robert Ward and Ronnie Ward. A proposed model of repetition blindness / Colm G. Connolly and Ronan G. Reilly -- Cognitive processing and control. Modelling the slow emotional Stroop effect : suppression of cognitive control / Bradley Wyble, Dinkar Sharma and Howard Bowman. Evidence of modularity from primate errors during task learning / Joanna J. Bryson. Accounting for episodic, semantic and procedural memory in the recommendation archtecture cognitive model / L. Andrew Coward. Can self-control be explained through games? / Gaye Banfield and Chris Christodoulou. An investigation of the myopia for future consequences theory of VMF patient behaviour on the Iowa gambling task : an abstract neural network simulation / Kiran Kalidindi, Howard Bowman and Bradley Wyble -- Face processing and classification. Recognition of pain expressions / Peter J. B. Hancock ... [et al.]. Global and feature based gender classification of faces : a comparison of human performance and computational models / Samarasena Buchala ... [et al.] -- Developmental processes. A neural network investigation of the head preference : problems Explaining Empirical Results by bottom-up processes alone / Martial Mermillod ... [et al.]. Children's causal inferences as revealed by backwards blocking tasks : a memory self-refreshing neural networks account / Serban C. Musca -- Neural network methodology. Embryological modelling of the evolution of neural architecture / Chris P. Bowers and John A. Bullinaria. Evolving neural networks that suffer minimal catastrophic forgetting / Tebogo Seipone and John A. Bullinaria. Improving cell assembly categories by fatigue / Christian Huyck and Hina Ghalib. Comparing computational and human measures of visual similarity / Tim M. Gale ... [et al.]. Psychological ALife : bridging the gap between mind and brain. Enactive distributed associationism and transient localism / Anthony F. Morse -- Future challenges : thinking and reasoning. Modelling thinking and reasoning : the challenge ahead / Jonathan St B T Evans

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.

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

Connectionism and Second Language Acquisition

Author : Yasuhiro Shirai
Publisher : Routledge
ISBN 13 : 1136307672
Total Pages : 271 pages
Book Rating : 4.1/5 (363 download)

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Book Synopsis Connectionism and Second Language Acquisition by : Yasuhiro Shirai

Download or read book Connectionism and Second Language Acquisition written by Yasuhiro Shirai and published by Routledge. This book was released on 2018-08-06 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest title in the Cognitive Science and Second Language Acquisition Series presents a comprehensive review of connectionist research in second language acquisition (SLA). Second language researchers and the cognitive science community will find accessible discussions of the relevance of connectionist research to SLA. This important volume is key reading for any student or researcher interested in how second language acquisition can be better understood from a connectionist perspective.