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Cognitive Approach to Natural Language Processing

Cognitive Approach to Natural Language Processing
A Book

by Bernadette Sharp,Florence Sedes,Wieslaw Lubaszewski

  • Publisher : Elsevier
  • Release : 2017-05-31
  • Pages : 234
  • ISBN : 008102343X
  • Language : En, Es, Fr & De
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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

Natural Language Processing and Cognitive Science

Natural Language Processing and Cognitive Science
Proceedings 2014

by Bernadette Sharp,Rodolfo Delmonte

  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 2015-03-10
  • Pages : 326
  • ISBN : 1501501313
  • Language : En, Es, Fr & De
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Peer reviewed articles from the Natural Language Processing and Cognitive Science (NLPCS) 2014 meeting in October 2014 workshop.The meeting fosters interactions among researchers and practitioners in NLP by taking a Cognitive Science perspective. Articles cover topics such as artificial intelligence, computational linguistics, psycholinguistics, cognitive psychology and language learning.

Natural Language Processing and Computational Linguistics

Natural Language Processing and Computational Linguistics
Speech, Morphology and Syntax

by Mohamed Zakaria Kurdi

  • Publisher : John Wiley & Sons
  • Release : 2016-08-22
  • Pages : 296
  • ISBN : 1848218486
  • Language : En, Es, Fr & De
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Natural language processing (NLP) is a scientific discipline which is found at the interface of computer science, artificial intelligence and cognitive psychology. Providing an overview of international work in this interdisciplinary field, this book gives the reader a panoramic view of both early and current research in NLP. Carefully chosen multilingual examples present the state of the art of a mature field which is in a constant state of evolution. In four chapters, this book presents the fundamental concepts of phonetics and phonology and the two most important applications in the field of speech processing: recognition and synthesis. Also presented are the fundamental concepts of corpus linguistics and the basic concepts of morphology and its NLP applications such as stemming and part of speech tagging. The fundamental notions and the most important syntactic theories are presented, as well as the different approaches to syntactic parsing with reference to cognitive models, algorithms and computer applications.

Analyzing Discourse and Text Complexity for Learning and Collaborating

Analyzing Discourse and Text Complexity for Learning and Collaborating
A Cognitive Approach Based on Natural Language Processing

by Mihai Dascălu

  • Publisher : Springer
  • Release : 2013-11-26
  • Pages : 279
  • ISBN : 3319034197
  • Language : En, Es, Fr & De
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With the advent and increasing popularity of Computer Supported Collaborative Learning (CSCL) and e-learning technologies, the need of automatic assessment and of teacher/tutor support for the two tightly intertwined activities of comprehension of reading materials and of collaboration among peers has grown significantly. In this context, a polyphonic model of discourse derived from Bakhtin’s work as a paradigm is used for analyzing both general texts and CSCL conversations in a unique framework focused on different facets of textual cohesion. As specificity of our analysis, the individual learning perspective is focused on the identification of reading strategies and on providing a multi-dimensional textual complexity model, whereas the collaborative learning dimension is centered on the evaluation of participants’ involvement, as well as on collaboration assessment. Our approach based on advanced Natural Language Processing techniques provides a qualitative estimation of the learning process and enhances understanding as a “mediator of learning” by providing automated feedback to both learners and teachers or tutors. The main benefits are its flexibility, extensibility and nevertheless specificity for covering multiple stages, starting from reading classroom materials, to discussing on specific topics in a collaborative manner and finishing the feedback loop by verbalizing metacognitive thoughts.

Natural Language Understanding and Cognitive Robotics

Natural Language Understanding and Cognitive Robotics
A Book

by Masao Yokota

  • Publisher : CRC Press
  • Release : 2019-12-06
  • Pages : 204
  • ISBN : 100073305X
  • Language : En, Es, Fr & De
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In the not so distant future, we can expect a world where humans and robots coexist and interact with each other. For this to occur, we need to understand human traits, such as seeing, hearing, thinking, speaking, etc., and institute these traits in robots. The most essential feature necessary for robots to achieve is that of integrative multimedia understanding (IMU) which occurs naturally in humans. It allows us to assimilate pieces of information expressed through different modes such as speech, pictures, gestures, etc. The book describes how robots acquire traits like natural language understanding (NLU) as the central part of IMU. Mental image directed semantic theory (MIDST) is its core, and is based on the hypothesis that NLU is essentially the processing of mental image associated with natural language expressions, namely, mental-image based understanding (MBU). MIDST is intended to model omnisensory mental image in human and to afford a knowledge representation system in order for integrative management of knowledge subjective to cognitive mechanisms of intelligent entities such as humans and robots based on a mental image model visualized as ‘Loci in Attribute Spaces’ and its description language Lmd (mental image description language) to be employed for predicate logic with a systematic scheme for symbol-grounding. This language works as an interlingua among various kinds of information media, and has been applied to several versions of the intelligent system interlingual understanding model aiming at general system (IMAGES). Its latest version, i.e. conversation management system (CMS) simulates MBU and comprehends the user’s intention through dialogue to find and solve problems, and finally, provides a response in text or animation. The book is aimed at researchers and students interested in artificial intelligence, robotics, and cognitive science. Based on philosophical considerations, the methodology will also have an appeal in linguistics, psychology, ontology, geography, and cartography. Key Features: Describes the methodology to provide robots with human-like capability of natural language understanding (NLU) as the central part of IMU Uses methodology that also relates to linguistics, psychology, ontology, geography, and cartography Examines current trends in machine translation

Computational and Cognitive Approaches to Narratology

Computational and Cognitive Approaches to Narratology
A Book

by Ogata, Takashi,Akimoto, Taisuke

  • Publisher : IGI Global
  • Release : 2016-07-15
  • Pages : 467
  • ISBN : 1522504338
  • Language : En, Es, Fr & De
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Studying narratives is often the best way to gain a good understanding of how various aspects of human information are organized and integrated—the narrator employs specific informational methods to build the whole structure of a narrative through combining temporally constructed events in light of an array of relationships to the narratee and these methods reveal the interaction of the rational and the sensitive aspects of human information. Computational and Cognitive Approaches to Narratology discusses issues of narrative-related information and communication technologies, cognitive mechanism and analyses, and theoretical perspectives on narratives and the story generation process. Focusing on emerging research as well as applications in a variety of fields including marketing, philosophy, psychology, art, and literature, this timely publication is an essential reference source for researchers, professionals, and graduate students in various information technology, cognitive studies, design, and creative fields.

Cognitive Neuroscience of Natural Language Use

Cognitive Neuroscience of Natural Language Use
A Book

by Roel M. Willems

  • Publisher : Cambridge University Press
  • Release : 2015-02-12
  • Pages : 304
  • ISBN : 1107042011
  • Language : En, Es, Fr & De
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Contributors to this book argue that we should study the brain basis of language as used in our daily lives.

Cognitive Computing and Big Data Analytics

Cognitive Computing and Big Data Analytics
A Book

by Judith S. Hurwitz,Marcia Kaufman,Adrian Bowles

  • Publisher : John Wiley & Sons
  • Release : 2015-04-08
  • Pages : 288
  • ISBN : 1118896785
  • Language : En, Es, Fr & De
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A comprehensive guide to learning technologies that unlock thevalue in big data Cognitive Computing provides detailed guidance towardbuilding a new class of systems that learn from experience andderive insights to unlock the value of big data. This book helpstechnologists understand cognitive computing's underlyingtechnologies, from knowledge representation techniques and naturallanguage processing algorithms to dynamic learning approaches basedon accumulated evidence, rather than reprogramming. Detailed caseexamples from the financial, healthcare, and manufacturing walkreaders step-by-step through the design and testing of cognitivesystems, and expert perspectives from organizations such asCleveland Clinic, Memorial Sloan-Kettering, as well as commercialvendors that are creating solutions. These organizations provideinsight into the real-world implementation of cognitive computingsystems. The IBM Watson cognitive computing platform is describedin a detailed chapter because of its significance in helping todefine this emerging market. In addition, the book includesimplementations of emerging projects from Qualcomm, Hitachi, Googleand Amazon. Today's cognitive computing solutions build on establishedconcepts from artificial intelligence, natural language processing,ontologies, and leverage advances in big data management andanalytics. They foreshadow an intelligent infrastructure thatenables a new generation of customer and context-aware smartapplications in all industries. Cognitive Computing is a comprehensive guide to thesubject, providing both the theoretical and practical guidancetechnologists need. Discover how cognitive computing evolved from promise toreality Learn the elements that make up a cognitive computingsystem Understand the groundbreaking hardware and softwaretechnologies behind cognitive computing Learn to evaluate your own application portfolio to find thebest candidates for pilot projects Leverage cognitive computing capabilities to transform theorganization Cognitive systems are rightly being hailed as the new era ofcomputing. Learn how these technologies enable emerging firms tocompete with entrenched giants, and forward-thinking establishedfirms to disrupt their industries. Professionals who currently workwith big data and analytics will see how cognitive computing buildson their foundation, and creates new opportunities. CognitiveComputing provides complete guidance to this new level ofhuman-machine interaction.

Aspects of the Theory of Syntax

Aspects of the Theory of Syntax
A Book

by Noam Chomsky

  • Publisher : MIT Press
  • Release : 1969-03-15
  • Pages : 251
  • ISBN : 9780262260503
  • Language : En, Es, Fr & De
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Chomsky proposes a reformulation of the theory of transformational generative grammar that takes recent developments in the descriptive analysis of particular languages into account. Beginning in the mid-fifties and emanating largely form MIT, an approach was developed to linguistic theory and to the study of the structure of particular languages that diverges in many respects from modern linguistics. Although this approach is connected to the traditional study of languages, it differs enough in its specific conclusions about the structure and in its specific conclusions about the structure of language to warrant a name, "generative grammar." Various deficiencies have been discovered in the first attempts to formulate a theory of transformational generative grammar and in the descriptive analysis of particular languages that motivated these formulations. At the same time, it has become apparent that these formulations can be extended and deepened.The major purpose of this book is to review these developments and to propose a reformulation of the theory of transformational generative grammar that takes them into account. The emphasis in this study is syntax; semantic and phonological aspects of the language structure are discussed only insofar as they bear on syntactic theory.

Cognitive Aspects of Computational Language Acquisition

Cognitive Aspects of Computational Language Acquisition
A Book

by Aline Villavicencio,Thierry Poibeau,Anna Korhonen,Afra Alishahi

  • Publisher : Springer Science & Business Media
  • Release : 2013-01-11
  • Pages : 320
  • ISBN : 3642318630
  • Language : En, Es, Fr & De
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Questions related to language acquisition have been of interest for many centuries, as children seem to acquire a sophisticated capacity for processing language with apparent ease, in the face of ambiguity, noise and uncertainty. However, with recent advances in technology and cognitive-related research it is now possible to conduct large-scale computational investigations of these issues The book discusses some of the latest theoretical and practical developments in the areas involved, including computational models for language tasks, tools and resources that help to approximate the linguistic environment available to children during acquisition, and discussions of challenging aspects of language that children have to master. This is a much-needed collection that provides a cross-section of recent multidisciplinary research on the computational modeling of language acquisition. It is targeted at anyone interested in the relevance of computational techniques for understanding language acquisition. Readers of this book will be introduced to some of the latest approaches to these tasks including: * Models of acquisition of various types of linguistic information (from words to syntax and semantics) and their relevance to research on human language acquisition * Analysis of linguistic and contextual factors that influence acquisition * Resources and tools for investigating these tasks Each chapter is presented in a self-contained manner, providing a detailed description of the relevant aspects related to research on language acquisition, and includes illustrations and tables to complement these in-depth discussions. Though there are no formal prerequisites, some familiarity with the basic concepts of human and computational language acquisition is beneficial.

Bayesian Analysis in Natural Language Processing

Bayesian Analysis in Natural Language Processing
A Book

by Shay Cohen

  • Publisher : Morgan & Claypool Publishers
  • Release : 2016-06-01
  • Pages : 274
  • ISBN : 1627054219
  • Language : En, Es, Fr & De
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Natural language processing (NLP) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven techniques to analyze language. Since then, the use of statistical techniques in NLP has evolved in several ways. One such example of evolution took place in the late 1990s or early 2000s, when full-fledged Bayesian machinery was introduced to NLP. This Bayesian approach to NLP has come to accommodate for various shortcomings in the frequentist approach and to enrich it, especially in the unsupervised setting, where statistical learning is done without target prediction examples. We cover the methods and algorithms that are needed to fluently read Bayesian learning papers in NLP and to do research in the area. These methods and algorithms are partially borrowed from both machine learning and statistics and are partially developed "in-house" in NLP. We cover inference techniques such as Markov chain Monte Carlo sampling and variational inference, Bayesian estimation, and nonparametric modeling. We also cover fundamental concepts in Bayesian statistics such as prior distributions, conjugacy, and generative modeling. Finally, we cover some of the fundamental modeling techniques in NLP, such as grammar modeling and their use with Bayesian analysis.

Connectionist Approaches to Natural Language Processing

Connectionist Approaches to Natural Language Processing
A Book

by R G Reilly,Noel Sharkey

  • Publisher : Routledge
  • Release : 2016-07-22
  • Pages : 472
  • ISBN : 1317266307
  • Language : En, Es, Fr & De
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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.

Recent Advances in Natural Language Processing III

Recent Advances in Natural Language Processing III
Selected Papers from RANLP 2003

by Nicolas Nicolov

  • Publisher : John Benjamins Publishing
  • Release : 2004
  • Pages : 402
  • ISBN : 9781588116185
  • Language : En, Es, Fr & De
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This volume brings together revised versions of a selection of papers presented at the 2003 International Conference on "Recent Advances in Natural Language Processing". A wide range of topics is covered in the volume: semantics, dialog, summarization, anaphora resolution, shallow parsing, morphology, part-of-speech tagging, named entity, question answering, word sense disambiguation, information extraction. Various 'state-of-the-art' techniques are explored: finite state processing, machine learning (support vector machines, maximum entropy, decision trees, memory-based learning, inductive logic programming, transformation-based learning, perceptions), latent semantic analysis, constraint programming. The papers address different languages (Arabic, English, German, Slavic languages) and use different linguistic frameworks (HPSG, LFG, constraint-based DCG). This book will be of interest to those who work in computational linguistics, corpus linguistics, human language technology, translation studies, cognitive science, psycholinguistics, artificial intelligence, and informatics.

Language, Cognition, and Computational Models

Language, Cognition, and Computational Models
A Book

by Thierry Poibeau,Aline Villavicencio

  • Publisher : Cambridge University Press
  • Release : 2017-11-30
  • Pages : 350
  • ISBN : 110716222X
  • Language : En, Es, Fr & De
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This book uses recent computational models to explore issues related to language and cognition.

Language Production, Cognition, and the Lexicon

Language Production, Cognition, and the Lexicon
A Book

by Núria Gala,Reinhard Rapp,Gemma Bel-Enguix

  • Publisher : Springer
  • Release : 2014-11-11
  • Pages : 586
  • ISBN : 3319080431
  • Language : En, Es, Fr & De
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The book collects contributions from well-established researchers at the interface between language and cognition. It provides an overview of the latest insights into this interdisciplinary field from the perspectives of natural language processing, computer science, psycholinguistics and cognitive science. One of the pioneers in cognitive natural language processing is Michael Zock, to whom this volume is dedicated. The structure of the book reflects his main research interests: lexicon and lexical analysis, semantics, language and speech generation, reading and writing technologies, language resources and language engineering. The book is a valuable reference work and authoritative information source, giving an overview on the field and describing the state of the art as well as future developments. It is intended for researchers and advanced students interested in the subject. One of the pioneers in cognitive natural language processing is Michael Zock, to whom this volume is dedicated. The structure of the book reflects his main research interests: Lexicon and lexical analysis, semantics, language and speech generation, reading and writing technologies, language resources and language engineering. The book is a valuable reference work and authoritative information source, giving an overview on the field and describing the state of the art as well as future developments. It is intended for researchers and advanced students interested in the subject. One of the pioneers in cognitive natural language processing is Michael Zock, to whom this volume is dedicated. The structure of the book reflects his main research interests: Lexicon and lexical analysis, semantics, language and speech generation, reading and writing technologies, language resources and language engineering. The book is a valuable reference work and authoritative information source, giving an overview on the field and describing the state of the art as well as future developments. It is intended for researchers and advanced students interested in the subject.

Natural Language Processing

Natural Language Processing
A Knowledge-engineering Approach

by Richard E. Cullingford

  • Publisher : Rowman & Littlefield Incorporated
  • Release : 1986
  • Pages : 406
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Language Processing with Perl and Prolog

Language Processing with Perl and Prolog
Theories, Implementation, and Application

by Pierre M. Nugues

  • Publisher : Springer
  • Release : 2014-08-06
  • Pages : 662
  • ISBN : 3642414648
  • Language : En, Es, Fr & De
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The areas of natural language processing and computational linguistics have continued to grow in recent years, driven by the demand to automatically process text and spoken data. With the processing power and techniques now available, research is scaling up from lab prototypes to real-world, proven applications. This book teaches the principles of natural language processing, first covering practical linguistics issues such as encoding and annotation schemes, defining words, tokens and parts of speech and morphology, as well as key concepts in machine learning, such as entropy, regression and classification, which are used throughout the book. It then details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques, using Prolog to write phase-structure grammars, syntactic formalisms and parsing techniques, semantics, predicate logic and lexical semantics and analysis of discourse and applications in dialogue systems. A key feature of the book is the author's hands-on approach throughout, with sample code in Prolog and Perl, extensive exercises, and a detailed introduction to Prolog. The reader is supported with a companion website that contains teaching slides, programs and additional material. The second edition is a complete revision of the techniques exposed in the book to reflect advances in the field the author redesigned or updated all the chapters, added two new ones and considerably expanded the sections on machine-learning techniques.

Natural Language Processing in Artificial Intelligence

Natural Language Processing in Artificial Intelligence
A Book

by Brojo Kishore Mishra,Raghvendra Kumar

  • Publisher : CRC Press
  • Release : 2020-11-01
  • Pages : 278
  • ISBN : 1000711315
  • Language : En, Es, Fr & De
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This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features: • Addresses the functional frameworks and workflow that are trending in NLP and AI • Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI • Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world • Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP

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

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

by Boonthum-Denecke, Chutima

  • Publisher : IGI Global
  • Release : 2011-12-31
  • Pages : 438
  • ISBN : 1613504489
  • Language : En, Es, Fr & De
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"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.

Handbook of Natural Language Processing

Handbook of Natural Language Processing
A Book

by Nitin Indurkhya,Fred J. Damerau

  • Publisher : CRC Press
  • Release : 2010-02-22
  • Pages : 704
  • ISBN : 9781420085938
  • Language : En, Es, Fr & De
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The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater