Subsymbolic Natural Language Processing

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Subsymbolic Natural Language Processing

Risto Miikkulainen
Subsymbolic Natural Language Processing Book PDF

Author : Risto Miikkulainen
Publisher : MIT Press
Page : 422 pages
File Size : 43,9 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.

Handbook of Natural Language Processing

Robert Dale,Hermann Moisl,Harold Somers
Handbook of Natural Language Processing Book PDF

Author : Robert Dale,Hermann Moisl,Harold Somers
Publisher : CRC Press
Page : 974 pages
File Size : 42,5 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 Natural Language Processing

Noel Sharkey
Connectionist Natural Language Processing Book PDF

Author : Noel Sharkey
Publisher : Springer Science & Business Media
Page : 385 pages
File Size : 47,9 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

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

Author : Stefan Wermter,Ellen Riloff,Gabriele Scheler
Publisher : Springer Science & Business Media
Page : 490 pages
File Size : 44,7 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.

Foundations of Statistical Natural Language Processing

Christopher Manning,Hinrich Schutze
Foundations of Statistical Natural Language Processing Book PDF

Author : Christopher Manning,Hinrich Schutze
Publisher : MIT Press
Page : 719 pages
File Size : 45,5 Mb
Release : 1999-05-28
Category : Language Arts & Disciplines
ISBN : 9780262303798

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Foundations of Statistical Natural Language Processing by Christopher Manning,Hinrich Schutze Pdf

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

The Handbook of Computational Linguistics and Natural Language Processing

Alexander Clark,Chris Fox,Shalom Lappin
The Handbook of Computational Linguistics and Natural Language Processing Book PDF

Author : Alexander Clark,Chris Fox,Shalom Lappin
Publisher : John Wiley & Sons
Page : 802 pages
File Size : 49,8 Mb
Release : 2012-10-04
Category : Language Arts & Disciplines
ISBN : 9781118347188

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The Handbook of Computational Linguistics and Natural Language Processing by Alexander Clark,Chris Fox,Shalom Lappin Pdf

This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies

Neural Network Perspectives on Cognition and Adaptive Robotics

A Browne
Neural Network Perspectives on Cognition and Adaptive Robotics Book PDF

Author : A Browne
Publisher : CRC Press
Page : 285 pages
File Size : 53,8 Mb
Release : 2019-08-20
Category : Mathematics
ISBN : 9781000716122

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Neural Network Perspectives on Cognition and Adaptive Robotics by A Browne Pdf

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to the modeling of human cognition and language using neural computing techniques. It also describes how adaptive robotic systems can be produced using neural network architectures. Covering a wide range of mainstream area and trends, each chapter provides the latest information from a different perspective.

A Practical Guide to Hybrid Natural Language Processing

Jose Manuel Gomez-Perez,Ronald Denaux,Andres Garcia-Silva
A Practical Guide to Hybrid Natural Language Processing Book PDF

Author : Jose Manuel Gomez-Perez,Ronald Denaux,Andres Garcia-Silva
Publisher : Springer Nature
Page : 268 pages
File Size : 45,5 Mb
Release : 2020-06-16
Category : Computers
ISBN : 9783030448301

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A Practical Guide to Hybrid Natural Language Processing by Jose Manuel Gomez-Perez,Ronald Denaux,Andres Garcia-Silva Pdf

This book provides readers with a practical guide to the principles of hybrid approaches to natural language processing (NLP) involving a combination of neural methods and knowledge graphs. To this end, it first introduces the main building blocks and then describes how they can be integrated to support the effective implementation of real-world NLP applications. To illustrate the ideas described, the book also includes a comprehensive set of experiments and exercises involving different algorithms over a selection of domains and corpora in various NLP tasks. Throughout, the authors show how to leverage complementary representations stemming from the analysis of unstructured text corpora as well as the entities and relations described explicitly in a knowledge graph, how to integrate such representations, and how to use the resulting features to effectively solve NLP tasks in a range of domains. In addition, the book offers access to executable code with examples, exercises and real-world applications in key domains, like disinformation analysis and machine reading comprehension of scientific literature. All the examples and exercises proposed in the book are available as executable Jupyter notebooks in a GitHub repository. They are all ready to be run on Google Colaboratory or, if preferred, in a local environment. A valuable resource for anyone interested in the interplay between neural and knowledge-based approaches to NLP, this book is a useful guide for readers with a background in structured knowledge representations as well as those whose main approach to AI is fundamentally based on logic. Further, it will appeal to those whose main background is in the areas of machine and deep learning who are looking for ways to leverage structured knowledge bases to optimize results along the NLP downstream.

Beyond Quantity

Andreas Sudmann,Anna Echterhölter,Markus Ramsauer,Fabian Retkowski,Jens Schröter,Alexander Waibel
Beyond Quantity Book PDF

Author : Andreas Sudmann,Anna Echterhölter,Markus Ramsauer,Fabian Retkowski,Jens Schröter,Alexander Waibel
Publisher : transcript Verlag
Page : 395 pages
File Size : 48,6 Mb
Release : 2023-11-30
Category : Social Science
ISBN : 9783732867660

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Beyond Quantity by Andreas Sudmann,Anna Echterhölter,Markus Ramsauer,Fabian Retkowski,Jens Schröter,Alexander Waibel Pdf

How do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the social sciences and the humanities seem to be increasingly affected by current approaches of subsymbolic AI, which master problems of quality (fuzziness, uncertainty) in a hitherto unknown way. But what are the conditions, implications, and effects of these (potential) epistemic transformations and how must research on AI be configured to address them adequately?

Philosophy, Mind, and Cognitive Inquiry

David J. Cole,J.H. Fetzer,T.L. Rankin
Philosophy Mind and Cognitive Inquiry Book PDF

Author : David J. Cole,J.H. Fetzer,T.L. Rankin
Publisher : Springer Science & Business Media
Page : 447 pages
File Size : 42,9 Mb
Release : 2012-12-06
Category : Education
ISBN : 9789400918825

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Philosophy, Mind, and Cognitive Inquiry by David J. Cole,J.H. Fetzer,T.L. Rankin Pdf

This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data-processing systems of all kinds, no matter whether human. (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psychology through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experimental, and methodological studies will also appear from time to time. No problem within the field of cognitive inquiry is more difficult than that of developing an adequate conception of the nature of mind and of its mode of operation. Our purpose in compiling the present volume has been to contribute to the pursuit of this objective by bringing together a repre sentative cross-section of the principal approaches and the primary players who are engaged in contemporary debate on these crucial issues. The book begins with a comprehensive introduction composed by David Cole, the senior editor of this work, which provides a background for understanding the major problems and alternative solutions, and ends with a selected bibliography intended to promote further research. If our efforts assist others in dealing with these issues, they will have been worthwhile. J. H. F. David J. Cole et at. (eds. ), Philosophy, Mind, and Cognitive Inquiry, ix.

Connectionist Approaches to Natural Language Processing

R G Reilly,Noel Sharkey
Connectionist Approaches to Natural Language Processing Book PDF

Author : R G Reilly,Noel Sharkey
Publisher : Routledge
Page : 472 pages
File Size : 51,7 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.

Applications of Artificial Intelligence

Anonim
Applications of Artificial Intelligence Book PDF

Author : Anonim
Publisher : Academic Press
Page : 399 pages
File Size : 49,6 Mb
Release : 1998-10-08
Category : Computers
ISBN : 0080566790

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Applications of Artificial Intelligence by Anonim Pdf

Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in hardware and software and in computer theory, design, and applications. It has also provided contributors with a medium in which they can examine their subjects in greater depth and breadth than that allowed by standard journal articles. As a result, many articles have become standard references that continue to be of significant, lasting value despite the rapid growth taking place in the field. Volume 47 contains seven chapters. The first four cover artificial intelligence, which is the use of technology to perform tasks generally assumed to require human thinking. These chapters present natural language processing, visualization, and self-replication as machine implementations of human activities. The remaining three chapters cover other recent advances that are important to the information processing field.

New Trends in Intelligent Software Methodologies, Tools and Techniques

H. Fujita,E. Herrera-Viedma
New Trends in Intelligent Software Methodologies Tools and Techniques Book PDF

Author : H. Fujita,E. Herrera-Viedma
Publisher : IOS Press
Page : 1058 pages
File Size : 49,6 Mb
Release : 2018-09-18
Category : Computers
ISBN : 9781614999003

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New Trends in Intelligent Software Methodologies, Tools and Techniques by H. Fujita,E. Herrera-Viedma Pdf

Knowledge-based systems, fully integrated with software, have become essential enablers for both science and commerce. But current software methodologies, tools and techniques are not robust or reliable enough for the demands of a constantly changing and evolving market, and many promising approaches have proved to be no more than case-oriented methods that are not fully automated. This book presents the proceedings of the 17th international conference on New Trends in Intelligent Software Methodology, Tools and Techniques (SoMeT18) held in Granada, Spain, 26-28 September 2018. The SoMeT conferences provide a forum for the exchange of ideas and experience, foster new directions in software development methodologies and related tools and techniques, and focus on exploring innovations, controversies, and the current challenges facing the software engineering community. The 80 selected papers included here are divided into 13 chapters, and cover subjects as diverse as intelligent software systems; medical informatics and bioinformatics; artificial intelligence techniques; social learning software and sentiment analysis; cognitive systems and neural analytics; and security, among other things. Offering a state-of-the-art overview of methodologies, tools and techniques, this book will be of interest to all those whose work involves the development or application of software.

Encyclopedia of Library and Information Sciences

John D. McDonald,Michael Levine-Clark
Encyclopedia of Library and Information Sciences Book PDF

Author : John D. McDonald,Michael Levine-Clark
Publisher : CRC Press
Page : 5538 pages
File Size : 48,9 Mb
Release : 2017-03-15
Category : Computers
ISBN : 9781000031546

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Encyclopedia of Library and Information Sciences by John D. McDonald,Michael Levine-Clark Pdf

The Encyclopedia of Library and Information Sciences, comprising of seven volumes, now in its fourth edition, compiles the contributions of major researchers and practitioners and explores the cultural institutions of more than 30 countries. This major reference presents over 550 entries extensively reviewed for accuracy in seven print volumes or online. The new fourth edition, which includes 55 new entires and 60 revised entries, continues to reflect the growing convergence among the disciplines that influence information and the cultural record, with coverage of the latest topics as well as classic articles of historical and theoretical importance.

The Emergence of Language

Brian MacWhinney
The Emergence of Language Book PDF

Author : Brian MacWhinney
Publisher : Psychology Press
Page : 519 pages
File Size : 54,9 Mb
Release : 2013-03-07
Category : Psychology
ISBN : 9781135676926

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The Emergence of Language by Brian MacWhinney Pdf

For nearly four centuries, our understanding of human development has been controlled by the debate between nativism and empiricism. Nowhere has the contrast between these apparent alternatives been sharper than in the study of language acquisition. However, as more is learned about the details of language learning, it is found that neither nativism nor empiricism provides guidance about the ways in which complexity arises from the interaction of simpler developmental forces. For example, the child's first guesses about word meanings arise from the interplay between parental guidance, the child's perceptual preferences, and neuronal support for information storage and retrieval. As soon as the shape of the child's lexicon emerges from these more basic forces, an exploration of "emergentism" as a new alternative to nativism and empiricism is ready to begin. This book presents a series of emergentist accounts of language acquisition. Each case shows how a few simple, basic processes give rise to new levels of language complexity. The aspects of language examined here include auditory representations, phonological and articulatory processes, lexical semantics, ambiguity processing, grammaticality judgment, and sentence comprehension. The approaches that are invoked to account formally for emergent patterns include neural network theory, dynamic systems, linguistic functionalism, construction grammar, optimality theory, and statistically-driven learning. The excitement of this work lies both in the discovery of new emergent patterns and in the integration of theoretical frameworks that can formalize the theory of emergentism.