Knowledge Representation And The Semantics Of Natural Language


Knowledge Representation And The Semantics Of Natural Language
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Knowledge Representation And The Semantics Of Natural Language


Knowledge Representation And The Semantics Of Natural Language
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Author : Hermann Helbig
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-19

Knowledge Representation And The Semantics Of Natural Language written by Hermann Helbig and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-19 with Computers categories.


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.



Natural Language Processing And Knowledge Representation


Natural Language Processing And Knowledge Representation
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Author : Łucja M. Iwańska
language : en
Publisher: AAAI Press
Release Date : 2000-06-19

Natural Language Processing And Knowledge Representation written by Łucja M. Iwańska and has been published by AAAI Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-06-19 with Computers categories.


"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.



Understanding Meaning And Knowledge Representation


Understanding Meaning And Knowledge Representation
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Author : Eva Mestre Mestre
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2016-01-14

Understanding Meaning And Knowledge Representation written by Eva Mestre Mestre and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-14 with Language Arts & Disciplines categories.


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.



Lexical Semantics And Knowledge Representation In Multilingual Text Generation


Lexical Semantics And Knowledge Representation In Multilingual Text Generation
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Author : Manfred Stede
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Lexical Semantics And Knowledge Representation In Multilingual Text Generation written by Manfred Stede and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


In knowledge-based natural language generation, issues of formal knowledge representation meet with the linguistic problems of choosing the most appropriate verbalization in a particular situation of utterance. Lexical Semantics and Knowledge Representation in Multilingual Text Generation presents a new approach to systematically linking the realms of lexical semantics and knowledge represented in a description logic. For language generation from such abstract representations, lexicalization is taken as the central step: when choosing words that cover the various parts of the content representation, the principal decisions on conveying the intended meaning are made. A preference mechanism is used to construct the utterance that is best tailored to parameters representing the context. Lexical Semantics and Knowledge Representation in Multilingual Text Generation develops the means for systematically deriving a set of paraphrases from the same underlying representation with the emphasis on events and verb meaning. Furthermore, the same mapping mechanism is used to achieve multilingual generation: English and German output are produced in parallel, on the basis of an adequate division between language-neutral and language-specific (lexical and grammatical) knowledge. Lexical Semantics and Knowledge Representation in Multilingual Text Generation provides detailed insights into designing the representations and organizing the generation process. Readers with a background in artificial intelligence, cognitive science, knowledge representation, linguistics, or natural language processing will find a model of language production that can be adapted to a variety of purposes.



Lexical Semantics And Knowledge Representation


Lexical Semantics And Knowledge Representation
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Author : James Pustejovsky
language : en
Publisher: Berlin : Springer-Verlag
Release Date : 1992

Lexical Semantics And Knowledge Representation written by James Pustejovsky and has been published by Berlin : Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.


"Recent work on formal methods in computational lexical semantics has had theeffect of bringing many linguistic formalisms much closer to the knowledge representation languages used in artificial intelligence. Formalisms are now emerging which may be more expressive and formally better understood than many knowledge representation languages. The interests of computational linguists now extend to include such domains as commonsense knowledge, inheritance, default reasoning, collocational relations, and even domain knowledge. With such an extension of the normal purview of "linguistic" knowledge, one may question whether there is any logical justification for distinguishing between lexical semantics and commonsense reasoning. This volume explores the question from several methodologicaland theoretical perspectives. What emerges is a clear consensus that the notion of the lexicon and lexical knowledge assumed in earlier linguistic research is grossly inadequate and fails to address the deeper semantic issues required for natural language analysis."--PUBLISHER'S WEBSITE.



Approaches To Knowledge Representation


Approaches To Knowledge Representation
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Author : Gordon A. Ringland
language : en
Publisher: John Wiley & Sons
Release Date : 1988

Approaches To Knowledge Representation written by Gordon A. Ringland and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Computers categories.




Representation And Processing Of Natural Language


Representation And Processing Of Natural Language
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Author : Leonard Bolc
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 1980-12-31

Representation And Processing Of Natural Language written by Leonard Bolc and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980-12-31 with Computers categories.


No detailed description available for "Representation and Processing of Natural Language".



Representation Learning For Natural Language Processing


Representation Learning For Natural Language Processing
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Author : Zhiyuan Liu
language : en
Publisher: Springer Nature
Release Date : 2023-08-23

Representation Learning For Natural Language Processing written by Zhiyuan Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-23 with Computers categories.


This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV 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. As compared to the first edition, the second edition (1) provides a more detailed introduction to representation learning in Chapter 1; (2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning; (3) updates recent advances in representation learning in all chapters; and (4) corrects some errors in the first edition. The new contents will be approximately 50%+ compared to the first edition. This is an open access book.



Linguistic Instruments In Knowledge Engineering


Linguistic Instruments In Knowledge Engineering
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Author : R. P. van de Riet
language : en
Publisher: North Holland
Release Date : 1992

Linguistic Instruments In Knowledge Engineering written by R. P. van de Riet and has been published by North Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.


This book explores the theme Linguistic Instruments in Knowledge Engineering from the perspective of workers from the fields of linguistics and computer science. The application direction is presented the other way around: - computational linguistics, and computational tools and theories are used for grammar writing, parsing, logical semantics, etc. The first five papers explore primarily linguistic aspects, while the next five take a look at the aspects related to information systems. Topic areas include: information sciences and knowledge engineering, information systems, conceptual model specification, logic and natural language semantics. This combination of linguistics with the representation of knowledge in the form of information systems will be of interest to those working in knowledge engineering, information-system development and CASE tools.



Principles Of Semantic Networks


Principles Of Semantic Networks
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Author : John F. Sowa
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-07-10

Principles Of Semantic Networks written by John F. Sowa and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-10 with Computers categories.


Principles of Semantic Networks: Explorations in the Representation of Knowledge provides information pertinent to the theory and applications of semantic networks. This book deals with issues in knowledge representation, which discusses theoretical topics independent of particular implementations. Organized into three parts encompassing 19 chapters, this book begins with an overview of semantic network structure for representing knowledge as a pattern of interconnected nodes and arcs. This text then analyzes the concepts of subsumption and taxonomy and synthesizes a framework that integrates many previous approaches and goes beyond them to provide an account of abstract and partially defines concepts. Other chapters consider formal analyses, which treat the methods of reasoning with semantic networks and their computational complexity. This book discusses as well encoding linguistic knowledge. The final chapter deals with a formal approach to knowledge representation that builds on ideas originating outside the artificial intelligence literature in research on foundations for programming languages. This book is a valuable resource for mathematicians.