The Semantic Representation Of Natural Language
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The Semantic Representation Of Natural Language
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Author : Michael Levison
language : en
Publisher: A&C Black
Release Date : 2012-12-20
The Semantic Representation Of Natural Language written by Michael Levison and has been published by A&C Black this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-20 with Language Arts & Disciplines categories.
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.
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.
The Semantic Representation Of Natural Language
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Author : Michael Levison
language : en
Publisher: A&C Black
Release Date : 2013-05-23
The Semantic Representation Of Natural Language written by Michael Levison and has been published by A&C Black this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-23 with Language Arts & Disciplines categories.
Proposes robust onomasiological semantic formalism and applies it to a wide variety of linguistic phenomena.
Representation And Inference For Natural Language
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Author : Patrick Blackburn
language : en
Publisher: Center for the Study of Language and Information Publica Tion
Release Date : 2005
Representation And Inference For Natural Language written by Patrick Blackburn and has been published by Center for the Study of Language and Information Publica Tion this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computational linguistics categories.
How can computers distinguish the coherent from the unintelligible, recognize new information in a sentence, or draw inferences from a natural language passage? Computational semantics is an exciting new field that seeks answers to these questions, and this volume is the first textbook wholly devoted to this growing subdiscipline. The book explains the underlying theoretical issues and fundamental techniques for computing semantic representations for fragments of natural language. This volume will be an essential text for computer scientists, linguists, and anyone interested in the development of computational semantics.
Representation Learning For Natural Language Processing
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Author : Zhiyuan Liu
language : en
Publisher: Springer Nature
Release Date : 2020-07-03
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 2020-07-03 with Computers categories.
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.
Natural Language Processing
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Author : Epaminondas Kapetanios
language : en
Publisher: CRC Press
Release Date : 2013-11-14
Natural Language Processing written by Epaminondas Kapetanios and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-14 with Computers categories.
This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, and the nature of language. The book also emphasizes the portions of mathematics needed to under
Naive Semantics For Natural Language Understanding
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Author : Kathleen Dahlgren
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Naive Semantics For Natural Language Understanding written by Kathleen Dahlgren 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.
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.
Semantics
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Author : Igor A. Mel?uk
language : en
Publisher: John Benjamins Publishing
Release Date : 2012-06-06
Semantics written by Igor A. Mel?uk and has been published by John Benjamins Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-06 with Language Arts & Disciplines categories.
This book presents an innovative and novel approach to linguistic semantics, beginning with the idea that language can be described as a system for the expression of linguistic Meanings as particular surface forms or Texts. Semantics is specifically that system of rules that ensures a correct transition from a Semantic Representation of the Meaning of a family of synonymous sentences to the Deep Syntactic Representation of a particular sentence. Framed in the terms of Meaning-Text linguistics, this volume discusses in detail the problems of Semantic Representation —including the semantic structure of utterances, the semantics of Causation in English, and communicative, or information, structure. Based on the author’s life-long dedication to the study of the semantics and syntax of natural language, this book is a paradigm-shifting contribution to the language sciences whose originality and daring will make it essential reading for linguists, anthropologists, semioticians, and computational linguists.
From Discourse To Logic
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Author : Hans Kamp
language : en
Publisher: Springer
Release Date : 2012-09-27
From Discourse To Logic written by Hans Kamp and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-27 with Language Arts & Disciplines categories.
Preface This book is about semantics and logic. More specifically, it is about the semantics and logic of natural language; and, even more specifically than that, it is about a particular way of dealing with those subjects, known as Discourse Representation Theory, or DRT. DRT is an approach towards natural language semantics which, some thirteen years ago, arose out of attempts to deal with two distinct problems. The first of those was the semantic puzzle that had been brought to contempo rary attention by Geach's notorious "donkey sentences" - sentences like If Pedro owns some donkey, he beats it, in which the anaphoric connection we perceive between the indefinite noun phrase some donkey and the pronoun it may seem to conflict with the existential meaning of the word some. The second problem had to do with tense and aspect. Some languages, for instance French and the other Romance languages, have two morphologically distinct past tenses, a simple past (the French Passe Simple) and a continuous past (the French Imparfait). To articulate precisely what the difference between these tenses is has turned out to be surprisingly difficult.