Knowledge Representation And The Semantics Of Natural Language PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Knowledge Representation And The Semantics Of Natural Language PDF full book. Access full book title Knowledge Representation And The Semantics Of Natural Language.
| Author | : Hermann Helbig |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 652 |
| Release | : 2005-12-19 |
| Genre | : Computers |
| ISBN | : 3540299661 |
Download Knowledge Representation and the Semantics of Natural Language Book in PDF, ePub and Kindle
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 | : Łucja M. Iwańska |
| Publisher | : AAAI Press |
| Total Pages | : 490 |
| Release | : 2000-06-19 |
| Genre | : Computers |
| ISBN | : |
Download Natural Language Processing and Knowledge Representation Book in PDF, ePub and Kindle
"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 | : Eva Mestre Mestre |
| Publisher | : Cambridge Scholars Publishing |
| Total Pages | : 395 |
| Release | : 2016-01-14 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1443887927 |
Download Understanding Meaning and Knowledge Representation Book in PDF, ePub and Kindle
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 | : Michael Levison |
| Publisher | : A&C Black |
| Total Pages | : 284 |
| Release | : 2012-12-20 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1441190732 |
Download The Semantic Representation of Natural Language Book in PDF, ePub and Kindle
This volume contains a detailed, precise and clear semantic formalism designed to allow non-programmers such as linguists and literary specialists to represent elements of meaning which they must deal with in their research and teaching. At the same time, by its basis in a functional programming paradigm, it retains sufficient formal precision to support computational implementation. The formalism is designed to represent meaning as found at a variety of levels, including basic semantic units and relations, word meaning, sentence-level phenomena, and text-level meaning. By drawing on fundamental principles of program design, the proposed formalism is both easy to read and modify yet sufficiently powerful to allow for the representation of complex semantic phenomena. In this monograph, the authors introduce the formalism and show its basic structure, apply it to the analysis of the semantics of a variety of linguistic phenomena in both English and French, and use it to represent the semantics of a variety of texts ranging from single sentences, to textual excepts, to a full story.
| Author | : Kathleen Dahlgren |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 274 |
| Release | : 1988-08-31 |
| Genre | : Computers |
| ISBN | : 9780898382877 |
Download Naive Semantics for Natural Language Understanding Book in PDF, ePub and Kindle
This book introduces a theory, Naive Semantics (NS), a theory of the knowledge underlying natural language understanding. The basic assumption of NS is that knowing what a word means is not very different from knowing anything else, so that there is no difference in form of cognitive representation between lexical semantics and ency clopedic knowledge. NS represents word meanings as commonsense knowledge, and builds no special representation language (other than elements of first-order logic). The idea of teaching computers common sense knowledge originated with McCarthy and Hayes (1969), and has been extended by a number of researchers (Hobbs and Moore, 1985, Lenat et aI, 1986). Commonsense knowledge is a set of naive beliefs, at times vague and inaccurate, about the way the world is structured. Traditionally, word meanings have been viewed as criterial, as giving truth conditions for membership in the classes words name. The theory of NS, in identifying word meanings with commonsense knowledge, sees word meanings as typical descriptions of classes of objects, rather than as criterial descriptions. Therefore, reasoning with NS represen tations is probabilistic rather than monotonic. This book is divided into two parts. Part I elaborates the theory of Naive Semantics. Chapter 1 illustrates and justifies the theory. Chapter 2 details the representation of nouns in the theory, and Chapter 4 the verbs, originally published as "Commonsense Reasoning with Verbs" (McDowell and Dahlgren, 1987). Chapter 3 describes kind types, which are naive constraints on noun representations.
| Author | : Manfred Stede |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 230 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 146155179X |
Download Lexical Semantics and Knowledge Representation in Multilingual Text Generation Book in PDF, ePub and Kindle
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.
| Author | : Leonard Bolc |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 376 |
| Release | : 1980-12-31 |
| Genre | : Computers |
| ISBN | : 3112729196 |
Download Representation and Processing of Natural Language Book in PDF, ePub and Kindle
No detailed description available for "Representation and Processing of Natural Language".
| Author | : Zhiyuan Liu |
| Publisher | : Springer Nature |
| Total Pages | : 319 |
| Release | : 2020-07-03 |
| Genre | : Computers |
| ISBN | : 9811555737 |
Download Representation Learning for Natural Language Processing Book in PDF, ePub and Kindle
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 | : James Pustejovsky |
| Publisher | : Berlin : Springer-Verlag |
| Total Pages | : 408 |
| Release | : 1992 |
| Genre | : Computers |
| ISBN | : |
Download Lexical Semantics and Knowledge Representation Book in PDF, ePub and Kindle
"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.
| Author | : John F. Sowa |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 595 |
| Release | : 2014-07-10 |
| Genre | : Computers |
| ISBN | : 1483221148 |
Download Principles of Semantic Networks Book in PDF, ePub and Kindle
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.
