Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Language Knowledge And Representation
Download Language Knowledge And Representation full books in PDF, epub, and Kindle. Read online Language Knowledge And Representation ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Language, Knowledge, and Representation by : Jesus M. Larrazabal
Download or read book Language, Knowledge, and Representation written by Jesus M. Larrazabal and published by Springer Science & Business Media. This book was released on 2013-11-09 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every two years since 1989, an international colloquium on cognitive science is held in Donostia - San Sebastian, attracting the most important researchers in that field. This volume is a collection of the invited papers to the Sixth International Colloquium on Cognitive Science (ICCS-99), written from a multidisciplinary, cognitive perspective, and addressing various essential topics such as self-knowledge, intention, consciousness, language use, learning and discourse. This collection reflects not only the various interdisciplinary origins and standpoints of the participating researchers, but also the richness, fruitfulness, and exciting state of research in the field of cognitive science today. A must-read for anyone interested in philosophy, linguistics, psychology, and computer science, and in the perception of these topics from the perspective of cognitive science.
Book Synopsis Knowledge Representation and the Semantics of Natural Language by : Hermann Helbig
Download or read book Knowledge Representation and the Semantics of Natural Language written by Hermann Helbig and published by Springer Science & Business Media. This book was released on 2005-12-19 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language is not only the most important means of communication between human beings, it is also used over historical periods for the pres- vation of cultural achievements and their transmission from one generation to the other. During the last few decades, the ?ood of digitalized information has been growing tremendously. This tendency will continue with the globali- tion of information societies and with the growing importance of national and international computer networks. This is one reason why the theoretical und- standing and the automated treatment of communication processes based on natural language have such a decisive social and economic impact. In this c- text, the semantic representation of knowledge originally formulated in natural language plays a central part, because it connects all components of natural language processing systems, be they the automatic understanding of natural language (analysis), the rational reasoning over knowledge bases, or the g- eration of natural language expressions from formal representations. This book presents a method for the semantic representation of natural l- guage expressions (texts, sentences, phrases, etc. ) which can be used as a u- versal knowledge representation paradigm in the human sciences, like lingu- tics, cognitive psychology, or philosophy of language, as well as in com- tational linguistics and in arti?cial intelligence. It is also an attempt to close the gap between these disciplines, which to a large extent are still working separately.
Book Synopsis Natural Language Processing and Knowledge Representation by : Łucja M. Iwańska
Download or read book Natural Language Processing and Knowledge Representation written by Łucja M. Iwańska and published by AAAI Press. This book was released on 2000-06-19 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Traditionally, knowledge representation and reasoning systems have incorporated natural language as interfaces to expert systems or knowledge bases that performed tasks separate from natural language processing. As this book shows, however, the computational nature of representation and inference in natural language makes it the ideal model for all tasks in an intelligent computer system. Natural language processing combines the qualitative characteristics of human knowledge processing with a computer's quantitative advantages, allowing for in-depth, systematic processing of vast amounts of information.
Book Synopsis A Knowledge Representation Practionary by : Michael K. Bergman
Download or read book A Knowledge Representation Practionary written by Michael K. Bergman and published by Springer. This book was released on 2018-12-12 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This major work on knowledge representation is based on the writings of Charles S. Peirce, a logician, scientist, and philosopher of the first rank at the beginning of the 20th century. This book follows Peirce's practical guidelines and universal categories in a structured approach to knowledge representation that captures differences in events, entities, relations, attributes, types, and concepts. Besides the ability to capture meaning and context, the Peircean approach is also well-suited to machine learning and knowledge-based artificial intelligence. Peirce is a founder of pragmatism, the uniquely American philosophy. Knowledge representation is shorthand for how to represent human symbolic information and knowledge to computers to solve complex questions. KR applications range from semantic technologies and knowledge management and machine learning to information integration, data interoperability, and natural language understanding. Knowledge representation is an essential foundation for knowledge-based AI. This book is structured into five parts. The first and last parts are bookends that first set the context and background and conclude with practical applications. The three main parts that are the meat of the approach first address the terminologies and grammar of knowledge representation, then building blocks for KR systems, and then design, build, test, and best practices in putting a system together. Throughout, the book refers to and leverages the open source KBpedia knowledge graph and its public knowledge bases, including Wikipedia and Wikidata. KBpedia is a ready baseline for users to bridge from and expand for their own domain needs and applications. It is built from the ground up to reflect Peircean principles. This book is one of timeless, practical guidelines for how to think about KR and to design knowledge management (KM) systems. The book is grounded bedrock for enterprise information and knowledge managers who are contemplating a new knowledge initiative. This book is an essential addition to theory and practice for KR and semantic technology and AI researchers and practitioners, who will benefit from Peirce's profound understanding of meaning and context.
Book Synopsis Modularity in Knowledge Representation and Natural-language Understanding by : Jay L. Garfield
Download or read book Modularity in Knowledge Representation and Natural-language Understanding written by Jay L. Garfield and published by Bradford Books. This book was released on 1991-02-05 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: The notion of modularity, introduced by Noam Chomsky and developed with special emphasis on perceptual and linguistic processes by Jerry Fodor in his important book The Modularity of Mind, has provided a significant stimulus to research in cognitive science. This book presents essays in which a diverse group of philosophers, linguists, psycholinguists, and neuroscientists - including both proponents and critics of the modularity hypothesis - address general questions and specific problems related to modularity. Jay L. Garfield is Associate Professor of Philosophy in the School of Communications and Cognitive Science at Hampshire College.
Book Synopsis Knowledge Representation and Reasoning by : Ronald Brachman
Download or read book Knowledge Representation and Reasoning written by Ronald Brachman and published by Morgan Kaufmann. This book was released on 2004-05-19 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge representation is at the very core of a radical idea for understanding intelligence. This book talks about the central concepts of knowledge representation developed over the years. It is suitable for researchers and practitioners in database management, information retrieval, object-oriented systems and artificial intelligence.
Book Synopsis Representation Learning for Natural Language Processing by : Zhiyuan Liu
Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Book Synopsis Knowledge Representation, Reasoning and Declarative Problem Solving by : Chitta Baral
Download or read book Knowledge Representation, Reasoning and Declarative Problem Solving written by Chitta Baral and published by Cambridge University Press. This book was released on 2003-01-09 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: Baral shows how to write programs that behave intelligently, by giving them the ability to express knowledge and to reason. This book will appeal to practising and would-be knowledge engineers wishing to learn more about the subject in courses or through self-teaching.
Book Synopsis Knowledge Representation by : Arthur B. Markman
Download or read book Knowledge Representation written by Arthur B. Markman and published by Psychology Press. This book was released on 2013-06-17 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge representation is fundamental to the study of mind. All theories of psychological processing are rooted in assumptions about how information is stored. These assumptions, in turn, influence the explanatory power of theories. This book fills a gap in the existing literature by providing an overview of types of knowledge representation techniques and their use in cognitive models. Organized around types of representations, this book begins with a discussion of the foundations of knowledge representation, then presents discussions of different ways that knowledge representation has been used. Both symbolic and connectionist approaches to representation are discussed and a set of recommendations about the way representations should be used is presented. This work can be used as the basis for a course on knowledge representation or can be read independently. It will be useful to students of psychology as well as people in related disciplines--computer science, philosophy, anthropology, and linguistics--who want an introduction to techniques for knowledge representation.
Book Synopsis Handbook of Knowledge Representation by : Frank van Harmelen
Download or read book Handbook of Knowledge Representation written by Frank van Harmelen and published by Elsevier. This book was released on 2008-01-08 with total page 1034 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter * Handle qualitative and uncertain information * Improve computational tractability to solve your problems easily
Book Synopsis Language Acquisition by : Antonella Sorace
Download or read book Language Acquisition written by Antonella Sorace and published by Brill. This book was released on 1999 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: After an introductory chapter that sets out the theoretical differences and standpoints on fundamental questions in language acquisition, chapters address core issues in language acquisition from perspectives of lexical-semantic theory, generative grammar, optimality theory, experimental speech perception, and computational modeling. Of interest to academic researchers and advanced students in linguistics and psychology. The editors work in applied linguistics and cognitive science at the University of Edinburgh. Material originated at an April 1997 conference held in Edinburgh, and was first published as vol. 106, 1998, of the journal Lingua. Annotation copyrighted by Book News, Inc., Portland, OR
Book Synopsis Representation and Understanding by : Jerry Bobrow
Download or read book Representation and Understanding written by Jerry Bobrow and published by Elsevier. This book was released on 2014-06-28 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Representation and Understanding
Book Synopsis Understanding Meaning and Knowledge Representation by : Eva Mestre Mestre
Download or read book Understanding Meaning and Knowledge Representation written by Eva Mestre Mestre and published by Cambridge Scholars Publishing. This book was released on 2016-01-14 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, there is a need to develop natural language processing (NLP) systems from deeper linguistic approaches. Although there are many NLP applications which can work without taking into account any linguistic theory, this type of system can only be described as “deceptively intelligent”. On the other hand, however, those computer programs requiring some language comprehension capability should be grounded in a robust linguistic model if they are to display the expected behaviour. The purpose of this book is to examine and discuss recent work in meaning and knowledge representation within theoretical linguistics and cognitive linguistics, particularly research which can be reused to model NLP applications.
Book Synopsis Layers and Levels of Representation in Language Theory by : Jan Nuyts
Download or read book Layers and Levels of Representation in Language Theory written by Jan Nuyts and published by John Benjamins Publishing. This book was released on 1990-01-01 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rather than simply a record of proceedings (3rd International Conference on Functional Grammar, Amsterdam, June 1988), this volume contains revised and expanded papers from the conference and other papers inspired by the lively discussion there. The volume focuses on the nature of the structures assumed to underlie utterances in natural languages, in two respects. One area is the question of whether to expand the representations accepted in Functional Grammar (FG) in order to capture interpersonal functions, i.e., communication between speaker and hearer in a particular situation and context, to include, for example, aspect, tense, modality and illocutionary force. The second area concerns whether current underlying representation in FG is sufficiently abstract to be the format for the deepest level of human conceptual knowledge storage, as discussed by Simon Dik in a number of recent articles.
Download or read book Language Acquisition written by and published by . This book was released on 1998 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Deep Learning and Linguistic Representation by : Shalom Lappin
Download or read book Deep Learning and Linguistic Representation written by Shalom Lappin and published by CRC Press. This book was released on 2021-04-26 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic Representation looks at the application of a variety of deep learning systems to several cognitively interesting NLP tasks. It also considers the extent to which this work illuminates our understanding of the way in which humans acquire and represent linguistic knowledge. Key Features: combines an introduction to deep learning in AI and NLP with current research on Deep Neural Networks in computational linguistics. is self-contained and suitable for teaching in computer science, AI, and cognitive science courses; it does not assume extensive technical training in these areas. provides a compact guide to work on state of the art systems that are producing a revolution across a range of difficult natural language tasks.
Book Synopsis Language, Knowledge, and Representation by : Jesus M. Larrazabal
Download or read book Language, Knowledge, and Representation written by Jesus M. Larrazabal and published by . This book was released on 2014-01-15 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
