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The Semantic Representation Of Natural Language
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Book Synopsis The Semantic Representation of Natural Language by : Michael Levison
Download or read book The Semantic Representation of Natural Language written by Michael Levison and published by A&C Black. This book was released on 2012-12-20 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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 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 Embeddings in Natural Language Processing by : Mohammad Taher Pilehvar
Download or read book Embeddings in Natural Language Processing written by Mohammad Taher Pilehvar and published by Morgan & Claypool Publishers. This book was released on 2020-11-13 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the development of NLP. Embedding techniques initially focused on words, but the attention soon started to shift to other forms: from graph structures, such as knowledge bases, to other types of textual content, such as sentences and documents. This book provides a high-level synthesis of the main embedding techniques in NLP, in the broad sense. The book starts by explaining conventional word vector space models and word embeddings (e.g., Word2Vec and GloVe) and then moves to other types of embeddings, such as word sense, sentence and document, and graph embeddings. The book also provides an overview of recent developments in contextualized representations (e.g., ELMo and BERT) and explains their potential in NLP. Throughout the book, the reader can find both essential information for understanding a certain topic from scratch and a broad overview of the most successful techniques developed in the literature.
Book Synopsis The Semantic Representation of Natural Language by : Michael Levison
Download or read book The Semantic Representation of Natural Language written by Michael Levison and published by A&C Black. This book was released on 2013-05-23 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proposes robust onomasiological semantic formalism and applies it to a wide variety of linguistic phenomena.
Author :Patrick Blackburn Publisher :Center for the Study of Language and Information Publica Tion ISBN 13 :9781575864969 Total Pages :0 pages Book Rating :4.8/5 (649 download)
Book Synopsis Representation and Inference for Natural Language by : Patrick Blackburn
Download or read book Representation and Inference for Natural Language written by Patrick Blackburn and published by Center for the Study of Language and Information Publica Tion. This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Natural Language Processing by : Epaminondas Kapetanios
Download or read book Natural Language Processing written by Epaminondas Kapetanios and published by CRC Press. This book was released on 2013-11-14 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 understand the discussed algorithms.
Book Synopsis Natural Language Processing for the Semantic Web by : Diana Maynard
Download or read book Natural Language Processing for the Semantic Web written by Diana Maynard and published by Springer Nature. This book was released on 2022-05-31 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future.
Book Synopsis Handbook of Research on Natural Language Processing and Smart Service Systems by : Pazos-Rangel, Rodolfo Abraham
Download or read book Handbook of Research on Natural Language Processing and Smart Service Systems written by Pazos-Rangel, Rodolfo Abraham and published by IGI Global. This book was released on 2020-10-02 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural language processing (NLP) is a branch of artificial intelligence that has emerged as a prevalent method of practice for a sizeable amount of companies. NLP enables software to understand human language and process complex data that is generated within businesses. In a competitive market, leading organizations are showing an increased interest in implementing this technology to improve user experience and establish smarter decision-making methods. Research on the application of intelligent analytics is crucial for professionals and companies who wish to gain an edge on the opposition. The Handbook of Research on Natural Language Processing and Smart Service Systems is a collection of innovative research on the integration and development of intelligent software tools and their various applications within professional environments. While highlighting topics including discourse analysis, information retrieval, and advanced dialog systems, this book is ideally designed for developers, practitioners, researchers, managers, engineers, academicians, business professionals, scholars, policymakers, and students seeking current research on the improvement of competitive practices through the use of NLP and smart service systems.
Book Synopsis From Discourse to Logic by : Hans Kamp
Download or read book From Discourse to Logic written by Hans Kamp and published by Springer. This book was released on 2012-09-27 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Semantics by : Igor? Aleksandrovi? Mel??uk
Download or read book Semantics written by Igor? Aleksandrovi? Mel??uk and published by John Benjamins Publishing. This book was released on 2012 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Foundations of Intensional Semantics by : Chris Fox
Download or read book Foundations of Intensional Semantics written by Chris Fox and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic study of three foundational issues in the semantics of natural language that have been relatively neglected in the past few decades. focuses on the formal characterization of intensions, the nature of an adequate type system for natural language semantics, and the formal power of the semantic representation language proposes a theory that offers a promising framework for developing a computational semantic system sufficiently expressive to capture the properties of natural language meaning while remaining computationally tractable written by two leading researchers and of interest to students and researchers in formal semantics, computational linguistics, logic, artificial intelligence, and the philosophy of language
Book Synopsis Semantics - Theories by : Claudia Maienborn
Download or read book Semantics - Theories written by Claudia Maienborn and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-02-19 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in paperback for the first time since its original publication, the material gathered here is perfect for anyone who needs a detailed and accessible introduction to the important semantic theories. Designed for a wide audience, it will be of great value to linguists, cognitive scientists, philosophers, and computer scientists working on natural language. The book covers theories of lexical semantics, cognitively oriented approaches to semantics, compositional theories of sentence semantics, and discourse semantics. This clear, elegant explanation of the key theories in semantics research is essential reading for anyone working in the area.
Book Synopsis Semantic Similarity from Natural Language and Ontology Analysis by : Sébastien Harispe
Download or read book Semantic Similarity from Natural Language and Ontology Analysis written by Sébastien Harispe and published by Morgan & Claypool Publishers. This book was released on 2015-05-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence federates numerous scientific fields in the aim of developing machines able to assist human operators performing complex treatments---most of which demand high cognitive skills (e.g. learning or decision processes). Central to this quest is to give machines the ability to estimate the likeness or similarity between things in the way human beings estimate the similarity between stimuli. In this context, this book focuses on semantic measures: approaches designed for comparing semantic entities such as units of language, e.g. words, sentences, or concepts and instances defined into knowledge bases. The aim of these measures is to assess the similarity or relatedness of such semantic entities by taking into account their semantics, i.e. their meaning---intuitively, the words tea and coffee, which both refer to stimulating beverage, will be estimated to be more semantically similar than the words toffee (confection) and coffee, despite that the last pair has a higher syntactic similarity. The two state-of-the-art approaches for estimating and quantifying semantic similarities/relatedness of semantic entities are presented in detail: the first one relies on corpora analysis and is based on Natural Language Processing techniques and semantic models while the second is based on more or less formal, computer-readable and workable forms of knowledge such as semantic networks, thesauri or ontologies. Semantic measures are widely used today to compare units of language, concepts, instances or even resources indexed by them (e.g., documents, genes). They are central elements of a large variety of Natural Language Processing applications and knowledge-based treatments, and have therefore naturally been subject to intensive and interdisciplinary research efforts during last decades. Beyond a simple inventory and categorization of existing measures, the aim of this monograph is to convey novices as well as researchers of these domains toward a better understanding of semantic similarity estimation and more generally semantic measures. To this end, we propose an in-depth characterization of existing proposals by discussing their features, the assumptions on which they are based and empirical results regarding their performance in particular applications. By answering these questions and by providing a detailed discussion on the foundations of semantic measures, our aim is to give the reader key knowledge required to: (i) select the more relevant methods according to a particular usage context, (ii) understand the challenges offered to this field of study, (iii) distinguish room of improvements for state-of-the-art approaches and (iv) stimulate creativity toward the development of new approaches. In this aim, several definitions, theoretical and practical details, as well as concrete applications are presented
Download or read book Semantics written by Claudia Maienborn and published by Walter de Gruyter. This book was released on 2011 with total page 989 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Formal Semantics of Natural Language by : Edward L. Keenan
Download or read book Formal Semantics of Natural Language written by Edward L. Keenan and published by Cambridge University Press. This book was released on 2009-05-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A volume of studies in natural language semantics which brings together work by philosophers, logicians and linguists. The main topics treated are: quantification and reference in natural language; the relations between formal logic, programming languages and natural language; pragmatics and discourse meaning; surface syntax and logical meaning. The volume derives from a colloquium organised in 1973 by the Kings College Research Centre, Cambridge and the papers have been edited for publication by Professor Keenan. It is hoped that the collection will make available some of the best work in this fast-moving field and will stimulate further progress by juxtaposing the different approaches and interests represented here.
Book Synopsis Logic & Natural Language by : Hanoch Ben-Yami
Download or read book Logic & Natural Language written by Hanoch Ben-Yami and published by Routledge. This book was released on 2004 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main purpose of this volume is to demonstrate several significant distinctions between the predicate calculus and natural language, distinctions that make the former inadequate for the study of the semantics and logic of the latter.
