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Author: Michael OSIT
Publisher: AMACOM Div American Mgmt Assn
ISBN: 0814409326
Category : Family & Relationships
Languages : en
Pages : 290
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Book Description
A teenage boy goes shopping on the Internet, sees something he likes, immediately reaches his mother via cell phone, and in a few short keystrokes, types in her credit card number and gets a shiny new lacrosse stick. Thanks to technological advances including computers, the Internet, cell phones, and satellites, today's children are faced with a world markedly more complex—and often distracting—than that of any other preceding generation. Generation Text examines why and how this phenomenon shapes children's values, attitudes, and behavior in a way that is fundamentally different from previous generations...and provides strategies for coping with the particular challenges of growing up in the new millennium. Parents who want to ensure that their children successfully develop key social skills, a healthy identity, and a strong work ethic need to make the right choices every step of the way. Clinical psychologist Dr. Michael Osit draws on his professional—as well as personal—experiences working with children and teens who have been challenged by unprecedented access to information, possessions, and temptation. Using case studies and examples, the book provides reasonable, down-to-earth strategies readers can use to address the unique issues faced by children surrounded by infinite choices...and very few limits.
Author: Michael OSIT
Publisher: AMACOM Div American Mgmt Assn
ISBN: 0814409326
Category : Family & Relationships
Languages : en
Pages : 290
Get Book
Book Description
A teenage boy goes shopping on the Internet, sees something he likes, immediately reaches his mother via cell phone, and in a few short keystrokes, types in her credit card number and gets a shiny new lacrosse stick. Thanks to technological advances including computers, the Internet, cell phones, and satellites, today's children are faced with a world markedly more complex—and often distracting—than that of any other preceding generation. Generation Text examines why and how this phenomenon shapes children's values, attitudes, and behavior in a way that is fundamentally different from previous generations...and provides strategies for coping with the particular challenges of growing up in the new millennium. Parents who want to ensure that their children successfully develop key social skills, a healthy identity, and a strong work ethic need to make the right choices every step of the way. Clinical psychologist Dr. Michael Osit draws on his professional—as well as personal—experiences working with children and teens who have been challenged by unprecedented access to information, possessions, and temptation. Using case studies and examples, the book provides reasonable, down-to-earth strategies readers can use to address the unique issues faced by children surrounded by infinite choices...and very few limits.
Author: Kathleen McKeown
Publisher: Cambridge University Press
ISBN: 9780521438025
Category : Computers
Languages : en
Pages : 264
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Book Description
Kathleen McKeown explores natural language text and presents a formal analysis of problems in a computer program, TEXT.
Author: I. Jeena Jacob
Publisher: Springer Nature
ISBN: 9819979625
Category : Technology & Engineering
Languages : en
Pages : 579
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Book Description
The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2023), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during June 27–28, 2023. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.
Author: Shashi Narayan
Publisher: Morgan & Claypool Publishers
ISBN: 1681737590
Category : Computers
Languages : en
Pages : 201
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Book Description
Text production has many applications. It is used, for instance, to generate dialogue turns from dialogue moves, verbalise the content of knowledge bases, or generate English sentences from rich linguistic representations, such as dependency trees or abstract meaning representations. Text production is also at work in text-to-text transformations such as sentence compression, sentence fusion, paraphrasing, sentence (or text) simplification, and text summarisation. This book offers an overview of the fundamentals of neural models for text production. In particular, we elaborate on three main aspects of neural approaches to text production: how sequential decoders learn to generate adequate text, how encoders learn to produce better input representations, and how neural generators account for task-specific objectives. Indeed, each text-production task raises a slightly different challenge (e.g, how to take the dialogue context into account when producing a dialogue turn, how to detect and merge relevant information when summarising a text, or how to produce a well-formed text that correctly captures the information contained in some input data in the case of data-to-text generation). We outline the constraints specific to some of these tasks and examine how existing neural models account for them. More generally, this book considers text-to-text, meaning-to-text, and data-to-text transformations. It aims to provide the audience with a basic knowledge of neural approaches to text production and a roadmap to get them started with the related work. The book is mainly targeted at researchers, graduate students, and industrials interested in text production from different forms of inputs.
Author: Marie-Francine Moens
Publisher: Springer Science & Business Media
ISBN: 0306470179
Category : Computers
Languages : en
Pages : 276
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Book Description
Automatic Indexing and Abstracting of Document Texts summarizes the latest techniques of automatic indexing and abstracting, and the results of their application. It also places the techniques in the context of the study of text, manual indexing and abstracting, and the use of the indexing descriptions and abstracts in systems that select documents or information from large collections. Important sections of the book consider the development of new techniques for indexing and abstracting. The techniques involve the following: using text grammars, learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms, and learning of classification patterns of texts. In addition, the book is an attempt to illuminate new avenues for future research. Automatic Indexing and Abstracting of Document Texts is an excellent reference for researchers and professionals working in the field of content management and information retrieval.
Author: Masato Hagiwara
Publisher: Simon and Schuster
ISBN: 1638350396
Category : Computers
Languages : en
Pages : 334
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Book Description
Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. In Real-world Natural Language Processing you will learn how to: Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots Use advanced NLP concepts such as attention and transfer learning Real-world Natural Language Processing teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning. In this engaging book, you’ll explore the core tools and techniques required to build a huge range of powerful NLP apps, including chatbots, language detectors, and text classifiers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Training computers to interpret and generate speech and text is a monumental challenge, and the payoff for reducing labor and improving human/computer interaction is huge! Th e field of Natural Language Processing (NLP) is advancing rapidly, with countless new tools and practices. This unique book offers an innovative collection of NLP techniques with applications in machine translation, voice assistants, text generation, and more. About the book Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic, you’ll create many interesting applications including a sentiment analyzer and a chatbot. Along the way, you’ll use Python and open source libraries like AllenNLP and HuggingFace Transformers to speed up your development process. What's inside Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots About the reader For Python programmers. No prior machine learning knowledge assumed. About the author Masato Hagiwara received his computer science PhD from Nagoya University in 2009. He has interned at Google and Microsoft Research, and worked at Duolingo as a Senior Machine Learning Engineer. He now runs his own research and consulting company. Table of Contents PART 1 BASICS 1 Introduction to natural language processing 2 Your first NLP application 3 Word and document embeddings 4 Sentence classification 5 Sequential labeling and language modeling PART 2 ADVANCED MODELS 6 Sequence-to-sequence models 7 Convolutional neural networks 8 Attention and Transformer 9 Transfer learning with pretrained language models PART 3 PUTTING INTO PRODUCTION 10 Best practices in developing NLP applications 11 Deploying and serving NLP applications
Author: David D. McDonald
Publisher: Springer Science & Business Media
ISBN: 1461238463
Category : Language Arts & Disciplines
Languages : en
Pages : 401
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Book Description
Natural language generation is a field within artificial intelligence which looks ahead to the future when machines will communicate complex thoughts to their human users in a natural way. Generation systems supply the sophisticated knowledge about natural languages that must come into play when one needs to use wordings that will overpower techniques based only on symbolic string manipulation techniques. Topics covered in this volume include discourse theory, mechanical translation, deliberate writing, and revision. Natural Language Generation Systems contains contributions by leading researchers in the field. Chapters contain details of grammatical treatments and processing seldom reported on outside of full length monographs.
Author: Harvinder Singh Saini
Publisher: Springer Nature
ISBN: 9811520437
Category : Technology & Engineering
Languages : en
Pages : 639
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Book Description
This book features a collection of high-quality, peer-reviewed research papers presented at the 7th International Conference on Innovations in Computer Science & Engineering (ICICSE 2019), held at Guru Nanak Institutions, Hyderabad, India, on 16–17 August 2019. Written by researchers from academia and industry, the book discusses a wide variety of industrial, engineering, and scientific applications of the emerging techniques in the field of computer science.
Author: Deepak P
Publisher: Springer Nature
ISBN: 3030626962
Category : Computers
Languages : en
Pages : 302
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Book Description
This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools. The fake news challenge cuts across a number of data science subfields such as graph analytics, mining of spatio-temporal data, information retrieval, natural language processing, computer vision and image processing, to name a few. This book will present a number of tutorial-style surveys that summarize a range of recent work in the field. In a unique feature, this book includes perspective notes from experts in disciplines such as linguistics, anthropology, medicine and politics that will help to shape the next generation of data science research in fake news. The main target groups of this book are academic and industrial researchers working in the area of data science, and with interests in devising and applying data science technologies for fake news detection. For young researchers such as PhD students, a review of data science work on fake news is provided, equipping them with enough know-how to start engaging in research within the area. For experienced researchers, the detailed descriptions of approaches will enable them to take seasoned choices in identifying promising directions for future research.
Author: Sergei Nirenburg
Publisher: IOS Press
ISBN: 1586039547
Category : Computers
Languages : en
Pages : 344
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Book Description
"Technologies enabling computers to process specific languages facilitate economic and political progress of societies where these languages are spoken. Development of methods and systems for language processing is therefore a worthy goal for national governments as well as for business entities and scientific and educational institutions in every country in the world. As work on systems and resources for the 'lower-density' languages becomes more widespread, an important question is how to leverage the results and experience accumulated by the field of computational linguistics for the major languages in the development of resources and systems for lower-density languages. This issue has been at the core of the NATO Advanced Studies Institute on language technologies for middle- and low-density languages held in Georgia in October 2007. This publication is a collection - of publication-oriented versions - of the lectures presented there and is a useful source of knowledge about many core facets of modern computational-linguistic work. By the same token, it can serve as a reference source for people interested in learning about strategies that are best suited for developing computational-linguistic capabilities for lesser-studied languages - either 'from scratch' or using components developed for other languages. The book should also be quite useful in teaching practical system- and resource-building topics in computational linguistics."--Site Web de l'éditeur.
