Download or read book Automatic Ambiguity Resolution in Natural Language Processing written by Alexander Franz and published by Springer Science & Business Media. This book was released on 1996-11-13 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an exciting time for Artificial Intelligence, and for Natural Language Processing in particular. Over the last five years or so, a newly revived spirit has gained prominence that promises to revitalize the whole field: the spirit of empiricism. This book introduces a new approach to the important NLP issue of automatic ambiguity resolution, based on statistical models of text. This approach is compared with previous work and proved to yield higher accuracy for natural language analysis. An effective implementation strategy is also described, which is directly useful for natural language analysis. The book is noteworthy for demonstrating a new empirical approach to NLP; it is essential reading for researchers in natural language processing or computational linguistics.
Download or read book Lexical Ambiguity Resolution written by Steven L. Small and published by Elsevier. This book was released on 2013-10-22 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most frequently used words in English are highly ambiguous; for example, Webster's Ninth New Collegiate Dictionary lists 94 meanings for the word "run" as a verb alone. Yet people rarely notice this ambiguity. Solving this puzzle has commanded the efforts of cognitive scientists for many years. The solution most often identified is "context": we use the context of utterance to determine the proper meanings of words and sentences. The problem then becomes specifying the nature of context and how it interacts with the rest of an understanding system. The difficulty becomes especially apparent in the attempt to write a computer program to understand natural language. Lexical ambiguity resolution (LAR), then, is one of the central problems in natural language and computational semantics research. A collection of the best research on LAR available, this volume offers eighteen original papers by leading scientists. Part I, Computer Models, describes nine attempts to discover the processes necessary for disambiguation by implementing programs to do the job. Part II, Empirical Studies, goes into the laboratory setting to examine the nature of the human disambiguation mechanism and the structure of ambiguity itself. A primary goal of this volume is to propose a cognitive science perspective arising out of the conjunction of work and approaches from neuropsychology, psycholinguistics, and artificial intelligence--thereby encouraging a closer cooperation and collaboration among these fields. Lexical Ambiguity Resolution is a valuable and accessible source book for students and cognitive scientists in AI, psycholinguistics, neuropsychology, or theoretical linguistics.
Download or read book Ambiguity in Natural Language written by Jan G. Kooij and published by . This book was released on 1971 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Ambiguity Resolution in Language Learning written by Hinrich Schütze and published by Center for the Study of Language and Information Publications. This book was released on 1997-05-13 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is concerned with how ambiguity and ambiguity resolution are learned, that is, with the acquisition of the different representations of ambiguous linguistic forms and the knowledge necessary for selecting among them in context. Schütze concentrates on how the acquisition of ambiguity is possible in principle and demonstrates that particular types of algorithms and learning architectures (such as unsupervised clustering and neural networks) can succeed at the task. Three types of lexical ambiguity are treated: ambiguity in syntactic categorisation, semantic categorisation, and verbal subcategorisation. The volume presents three different models of ambiguity acquisition: Tag Space, Word Space, and Subcat Learner, and addresses the importance of ambiguity in linguistic representation and its relevance for linguistic innateness.
Download or read book Python Natural Language Processing written by Jalaj Thanaki and published by Packt Publishing Ltd. This book was released on 2017-07-31 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the power of machine learning and deep learning to extract information from text data About This Book Implement Machine Learning and Deep Learning techniques for efficient natural language processing Get started with NLTK and implement NLP in your applications with ease Understand and interpret human languages with the power of text analysis via Python Who This Book Is For This book is intended for Python developers who wish to start with natural language processing and want to make their applications smarter by implementing NLP in them. What You Will Learn Focus on Python programming paradigms, which are used to develop NLP applications Understand corpus analysis and different types of data attribute. Learn NLP using Python libraries such as NLTK, Polyglot, SpaCy, Standford CoreNLP and so on Learn about Features Extraction and Feature selection as part of Features Engineering. Explore the advantages of vectorization in Deep Learning. Get a better understanding of the architecture of a rule-based system. Optimize and fine-tune Supervised and Unsupervised Machine Learning algorithms for NLP problems. Identify Deep Learning techniques for Natural Language Processing and Natural Language Generation problems. In Detail This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them. During the course of the book, you will explore the semantic as well as syntactic analysis of text. You will understand how to solve various ambiguities in processing human language and will come across various scenarios while performing text analysis. You will learn the very basics of getting the environment ready for natural language processing, move on to the initial setup, and then quickly understand sentences and language parts. You will learn the power of Machine Learning and Deep Learning to extract information from text data. By the end of the book, you will have a clear understanding of natural language processing and will have worked on multiple examples that implement NLP in the real world. Style and approach This book teaches the readers various aspects of natural language Processing using NLTK. It takes the reader from the basic to advance level in a smooth way.
Download or read book Ambiguity in Natural Language written by J. Kodij and published by . This book was released on 1973 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Semantic Interpretation and the Resolution of Ambiguity written by Graeme Hirst and published by Cambridge University Press. This book was released on 1987 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semantic interpretation and the resolution of ambiguity presents an important advance in computer understanding of natural language. While parsing techniques have been greatly improved in recent years, the approach to semantics has generally improved in recent years, the approach to semantics has generally been ad hoc and had little theoretical basis. Graeme Hirst offers a new, theoretically motivated foundation for conceptual analysis by computer, and shows how this framework facilitates the resolution of lexical and syntactic ambiguities. His approach is interdisciplinary, drawing on research in computational linguistics, artificial intelligence, montague semantics, and cognitive psychology.
Download or read book Structural Ambiguity in English written by Dallin D. Oaks and published by Bloomsbury Publishing. This book was released on 2010-05-27 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural Ambiguity in English is a major new scholarly work that provides an innovative and accessible linguistic description of those features of the language that can be exploited to generate structural ambiguities. Most ambiguity scholarship is concerned with disambiguation-the process of making what is ambiguous clear. This book takes the opposite approach as it focuses on describing the features in the English language that may contribute towards the creation of structural ambiguities, which form the core of some of the best word-plays found in advertising, comedy and marketing. Oaks utilizes a systematic and comprehensive inventory approach that identifies individual elements in the language and their distinctive behaviors that can be manipulated in the deliberate creation of structural ambiguities. In doing so he also provides authentic examples to illustrate the concepts he presents. This book will appeal to researchers and academics interested in the structure of the English language, usage, pragmatics, communication, natural language processing, editing, and humor studies as well as those in marketing, advertising, or humor writing.
Download or read book Galen on Language and Ambiguity written by Robert Blair Edlow and published by BRILL. This book was released on 2017-01-05 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Ambiguity in Natural Language written by Jan G. Kooij and published by . This book was released on 1971 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Challenges in Natural Language Processing written by Madeleine Bates and published by Cambridge University Press. This book was released on 1993-09-24 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses theoretical or applied work in the field of natural language processing.
Download or read book Semantic Ambiguity and Underspecification written by Kees van Deemter and published by Center for the Study of Language and Information Publications. This book was released on 1996-02-23 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the winter of 1993-1994, essays were commissioned on the topic of ambiguity and underspecification. All papers received were subjected to a thorough review process. The present volume, comprising ten self-contained papers and an introductory chapter, is the result. Natural language is known for the ambiguity of its expressions. Whereas artificial forms of communication tend to be designed in such a way that ambiguity is reduced to a minimum, natural language is ambiguous at various 'levels' of interpretation. At a low (e.g., speech recognition) level, a signal can be ambiguous between various utterances; at a higher (semantic) level, a fully recognised utterance can be used to express various different propositions; and at an even higher (pragmatic) level, a proposition may be used for various different purposes. The present volume focuses on ambiguities of the second kind, which are sometimes called semantic ambiguities, or mostly just ambiguities, when there is no likelihood of confusion.
Download or read book Automatic Ambiguity Resolution in Natural Language Processing written by Alexander Franz and published by . This book was released on 2014-01-15 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Cognitive Approach to Natural Language Processing written by Bernadette Sharp and published by Elsevier. This book was released on 2017-05-31 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: As natural language processing spans many different disciplines, it is sometimes difficult to understand the contributions and the challenges that each of them presents. This book explores the special relationship between natural language processing and cognitive science, and the contribution of computer science to these two fields. It is based on the recent research papers submitted at the international workshops of Natural Language and Cognitive Science (NLPCS) which was launched in 2004 in an effort to bring together natural language researchers, computer scientists, and cognitive and linguistic scientists to collaborate together and advance research in natural language processing. The chapters cover areas related to language understanding, language generation, word association, word sense disambiguation, word predictability, text production and authorship attribution. This book will be relevant to students and researchers interested in the interdisciplinary nature of language processing. - Discusses the problems and issues that researchers face, providing an opportunity for developers of NLP systems to learn from cognitive scientists, cognitive linguistics and neurolinguistics - Provides a valuable opportunity to link the study of natural language processing to the understanding of the cognitive processes of the brain
Download or read book Natural Language Processing and Information Retrieval written by Tanveer Siddiqui and published by Oxford University Press, USA. This book was released on 2008-05 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing and Information Retrieval is a textbook designed to meet the requirements of engineering students pursuing undergraduate and postgraduate programs in computer science and information technology. The book attempts to bridge the gap between theory and practice and would also serve as a useful reference for professionals and researchers working on language-related projects.
Download or read book The Virtual Linguistics Campus written by Jürgen Handke, Peter Franke and published by Waxmann Verlag. This book was released on 2006 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Biomedical Natural Language Processing written by Kevin Bretonnel Cohen and published by John Benjamins Publishing Company. This book was released on 2014-02-15 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the perspective of both biological science and clinical medicine. The intended audience is readers who already have a background in natural language processing, but a clear introduction makes it accessible to readers from the fields of bioinformatics and computational biology, as well. The book is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text mining.
