Language Knowledge And Representation

Author : Jesus M. Larrazabal,Luis A. Pérez Miranda
Publisher : Springer Science & Business Media
Page : 185 pages
File Size : 51,6 Mb
Release : 2013-11-09
Category : Philosophy
ISBN : 9781402027833

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Language, Knowledge, and Representation by Jesus M. Larrazabal,Luis A. Pérez Miranda Pdf

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.

Author : Hermann Helbig
Publisher : Springer Science & Business Media
Page : 652 pages
File Size : 40,7 Mb
Release : 2005-12-19
Category : Computers
ISBN : 9783540299660

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Knowledge Representation and the Semantics of Natural Language by Hermann Helbig Pdf

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.

Author : Michael K. Bergman
Publisher : Springer
Page : 462 pages
File Size : 51,5 Mb
Release : 2018-12-12
Category : Computers
ISBN : 9783319980928

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A Knowledge Representation Practionary by Michael K. Bergman Pdf

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.

Author : Eva Mestre Mestre,Carlos Periñán
Publisher : Cambridge Scholars Publishing
Page : 395 pages
File Size : 50,9 Mb
Release : 2016-01-14
Category : Language Arts & Disciplines
ISBN : 9781443887922

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Understanding Meaning and Knowledge Representation by Eva Mestre Mestre,Carlos Periñán Pdf

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.

Author : Jesus M. Larrazabal,Luis a Perez Miranda
Publisher : Unknown
Page : 192 pages
File Size : 43,5 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 9401570728

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Language, Knowledge, and Representation by Jesus M. Larrazabal,Luis a Perez Miranda Pdf

Author : Łucja M. Iwańska,Stuart C. Shapiro
Publisher : AAAI Press
Page : 490 pages
File Size : 48,9 Mb
Release : 2000-06-19
Category : Computers
ISBN : UOM:39015047725570

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Natural Language Processing and Knowledge Representation by Łucja M. Iwańska,Stuart C. Shapiro Pdf

"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.

Author : Anonim
Publisher : Unknown
Page : 242 pages
File Size : 53,7 Mb
Release : 1998
Category : Language acquisition
ISBN : OCLC:1223285777

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Language Acquisition by Anonim Pdf

Author : Zhiyuan Liu,Yankai Lin,Maosong Sun
Publisher : Springer Nature
Page : 319 pages
File Size : 41,5 Mb
Release : 2020-07-03
Category : Computers
ISBN : 9789811555732

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Representation Learning for Natural Language Processing by Zhiyuan Liu,Yankai Lin,Maosong Sun Pdf

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.

Author : Chitta Baral
Publisher : Cambridge University Press
Page : 546 pages
File Size : 40,5 Mb
Release : 2003-01-09
Category : Computers
ISBN : 9781139436441

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Knowledge Representation, Reasoning and Declarative Problem Solving by Chitta Baral Pdf

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.

Author : Jan Nuyts,A. Machtelt Bolkestein,Co Vet
Publisher : John Benjamins Publishing
Page : 361 pages
File Size : 46,6 Mb
Release : 1990-01-01
Category : Language Arts & Disciplines
ISBN : 9789027250230

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Layers and Levels of Representation in Language Theory by Jan Nuyts,A. Machtelt Bolkestein,Co Vet Pdf

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.

Author : Shalom Lappin
Publisher : CRC Press
Page : 162 pages
File Size : 52,5 Mb
Release : 2021-04-26
Category : Computers
ISBN : 9781000380323

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Deep Learning and Linguistic Representation by Shalom Lappin Pdf

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.

Author : Jerry Bobrow
Publisher : Elsevier
Page : 427 pages
File Size : 52,8 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9781483299150

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Representation and Understanding by Jerry Bobrow Pdf

Representation and Understanding

Author : Arthur B. Markman
Publisher : Psychology Press
Page : 382 pages
File Size : 52,6 Mb
Release : 2013-06-17
Category : Psychology
ISBN : 9781134802975

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Knowledge Representation by Arthur B. Markman Pdf

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.

Author : Frank van Harmelen,Vladimir Lifschitz,Bruce Porter
Publisher : Elsevier
Page : 1034 pages
File Size : 46,7 Mb
Release : 2008-01-08
Category : Computers
ISBN : 0080557023

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Handbook of Knowledge Representation by Frank van Harmelen,Vladimir Lifschitz,Bruce Porter Pdf

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

Author : Antonella Sorace,Caroline B. Heycock,Richard Shillcock
Publisher : Brill
Page : 284 pages
File Size : 46,6 Mb
Release : 1999
Category : Language acquisition
ISBN : UCSC:32106015010967

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Language Acquisition by Antonella Sorace,Caroline B. Heycock,Richard Shillcock Pdf

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