Changing with NLP

A Casebook of Neuro-linguistic Programming in Medical Practice Lewis Walker. of meaningfulness and connection . It is mediated by a wave of dopamine spreading through different neurological pathways . The state only lasts for as long as ...

Author: Lewis Walker

Publisher: Radcliffe Publishing

ISBN: 9781857758108

Category: Medical

Page: 364

View: 263

For medical practitioners considering incorporating neuro-linguistic programming into their practice, a UK general practitioner/NLP trainer introduces the theoretical basis, techniques, and clinical applications of this behavioral change model that takes onto account eye movements as neurological indicators. Dr. Walker includes exercises, a sample chart for exploring subjective experience, the NLP meta-model, eye-accessing cues, useful questions to ask patients and tips on when to use them. Annotation : 2004 Book News, Inc., Portland, OR (

Beat Insomnia with NLP

In this chapter you will learn: • the basics of NLP • how NLP 'presuppositions' can change the way you think • how models can help you better understand insomnia • about NLP and learning. We don't see things as they are, but rather as ...

Author: Adrian Tannock

Publisher: Hachette UK

ISBN: 1473679362

Category: Health & Fitness

Page: 176

View: 679

Insomnia is a problem that seriously affects millions of people. But Adrian Tannock has found that by using NLP techniques, people can hugely improve their sleeping experience. This book is full of practical, NLP-based guidance, which will help everyone from serious sufferers to people who have the occasional problems. These NLP techniques, combined with the friendly and straightforward approach of Teach Yourself, could hold the answer to your sleep problems.

Natural Language Processing with Spark NLP

Preface Why Natural Language Processing Is Important and Difficult Natural language processing (NLP) is a field of study concerned with processing language data. We will be focusing on text, but natural language audio data is also a ...

Author: Alex Thomas

Publisher: "O'Reilly Media, Inc."

ISBN: 1492047716

Category: Computers

Page: 366

View: 970

If you want to build an enterprise-quality application that uses natural language text but aren’t sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library. Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from basic linguistics and writing systems to sentiment analysis and search engines. You’ll also explore special concerns for developing text-based applications, such as performance. In four sections, you’ll learn NLP basics and building blocks before diving into application and system building: Basics: Understand the fundamentals of natural language processing, NLP on Apache Stark, and deep learning Building blocks: Learn techniques for building NLP applications—including tokenization, sentence segmentation, and named-entity recognition—and discover how and why they work Applications: Explore the design, development, and experimentation process for building your own NLP applications Building NLP systems: Consider options for productionizing and deploying NLP models, including which human languages to support

Foundations of Statistical Natural Language Processing

We have devoted separate chapters to the acquisition of collocations and word sense disambiguation simply because these are self - contained and warrant separate treatment as central problems in Statistical NLP .

Author: Christopher Manning

Publisher: MIT Press

ISBN: 9780262133609

Category: Language Arts & Disciplines

Page: 720

View: 676

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

Natural Language Processing and Information Systems

Since the eighties, many efforts have tackled methodological approaches for deriving conceptual schemata from NL specifications, [4], [1], [13], and some of them include NLP technology, [14], [6]. Recent state-of-the-art includes very ...

Author: Mokrane Bouzeghoub

Publisher: Springer

ISBN: 3540453997

Category: Computers

Page: 378

View: 970

This book includes the papers presented at the fifth International Conference on Application of Natural Language to Information Systems (NLDB 2000) which was held in Versailles (France) on June 28-30. Following NLDB95 in Versailles, NLDB96 i n Amsterdam, NLDB97 i n Vancouver, and NLDB99 i n Klagenfurt, NLDB 2000 was a forum for exchanging new research results and trends on the benefits of integrating Natural Language resources in Information System Engineering. Since the first NLDB workshop in 1995 it has become apparent that each aspect of an information system life cycle may be improved by natural language techniques: database design (specification, validation, conflict resolution), database query languages, and application programming that use new software engineering research (natural language program specifications). As information systems are now evolving into the communication area, the term databases should be considered in the broader sense of information and communication systems. The main new trend in NLDB 2000 is related to the WEB wave: WEB querying, WEB answering, and information retrieval. Among 47 papers submitted from 18 countries, the program committee selected 29 papers to be presented during the conference. Besides these regular papers, two invited talks (given by Pr. Reind P. van de Riet and Pr. Maurice Gross), and a set of posters and demonstrations are also included in these proceedings.

Emerging Applications of Natural Language Processing Concepts and New Research

Natural Language Processing (NLP) deals with computational techniques to fully automate any kind of human-like processing of natural language content. The field of NLP has witnessed a phenomenal growth of interest in recent years, ...

Author: Bandyopadhyay, Sivaji

Publisher: IGI Global

ISBN: 1466621702

Category: Computers

Page: 388

View: 623

"This book provides pertinent and vital information that researchers, postgraduate, doctoral students, and practitioners are seeking for learning about the latest discoveries and advances in NLP methodologies and applications of NLP"--Provided by publisher.

Natural Language Processing and Information Systems

1): the Natural Language Processing (NLP) module, the ontology-based feature identification module, the polarity identification module and the opinion mining module. These components are described in detail below.

Author: Rafael Munoz

Publisher: Springer Science & Business Media

ISBN: 3642223265

Category: Computers

Page: 350

View: 825

This book constitutes the refereed proceedings of the 16th International Conference on Applications of Natural Language to Information Systems, held in Alicante, Spain, in June 2011. The 11 revised full papers and 11 revised short papers presented together with 23 poster papers, 1 invited talk and 6 papers of the NLDB 2011 doctoral symposium were carefully reviewed and selected from 74 submissions. The papers address all aspects of Natural Language Processing related areas and present current research on topics such as natural language in conceptual modeling, NL interfaces for data base querying/retrieval, NL-based integration of systems, large-scale online linguistic resources, applications of computational linguistics in information systems, management of textual databases NL on data warehouses and data mining, NLP applications, as well as NL and ubiquitous computing.

Deep Learning in Natural Language Processing

We first provide an introduction to the basics of natural language processing (NLP) as an integral part of artificial intelligence. We then survey the historical development of NLP, spanning over five decades, in terms of three waves.

Author: Li Deng

Publisher: Springer

ISBN: 9811052093

Category: Computers

Page: 329

View: 135

In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.

Natural Language Processing and Text Mining

Another couple of NLP re- sources that they utilize are FrameNet and VerbNet to find relevant verbs and relationships to map into their knowledge-engineering categories, but this is used off-line for analysis rather than in on-line ...

Author: Anne Kao

Publisher: Springer Science & Business Media

ISBN: 1846287545

Category: Computers

Page: 265

View: 241

Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.

Natural Language Processing in Artificial Intelligence NLPinAI 2021

So, CL/NLP assisted grammars and dictionaries based on large corpora will be very welcome descriptive correctives to the mostly prescriptive existing grammars and dictionaries of Arabic. This is true for all domains of Arabic grammar, ...

Author: Roussanka Loukanova

Publisher: Springer Nature

ISBN: 3030901386

Category: Artificial intelligence


View: 954

The book covers theoretical work, approaches, applications, and techniques for computational models of information, language, and reasoning. Computational and technological developments that incorporate natural language are proliferating. Adequate coverage of natural language processing in artificial intelligence encounters problems on developments of specialized computational approaches and algorithms. Many difficulties are due to ambiguities in natural language and dependency of interpretations on contexts and agents. Classical approaches proceed with relevant updates, and new developments emerge in theories of formal and natural languages, computational models of information and reasoning, and related computerized applications. Its focus is on computational processing of human language and relevant medium languages, which can be theoretically formal, or for programming and specification of computational systems. The goal is to promote intelligent natural language processing, along with models of computation, language, reasoning, and other cognitive processes.