Part I, Background.- Setting the Scene.- Learning from Others' Experience.- Part II, Using Conversation Analysis for Dialogue Modelling.- Patterns for Expert-Novice Chats.- Other-Initiated Self-repair with Linguistic Trouble Source.- Exposed Corrections.- Embedded Corrections.- Models of Learner-Error Corrections.- To Correct or Not to Correct.- Method Evaluation.- Part III, Model Validation and Future Directions.- Implementation of an Artificial Conversation Companion.- Future Research Directions.- Part IV, Supplements.- App. A, Data.- App. B, Coding Scheme for Polar Questions.- App. C, Examples.- References.
Описание: This book presents a new way of looking at and analyzing policies, programs and/or plans in which research scientists have used their knowledge to develop mechanisms such as South Africa`s National Water Resource Strategy, Second Edition;
This book offers a much-needed discussion on the targeting of biofilm-related infections. Chapters include discussions on the impact of biofilm on medical implants, industrial applications, as well as wound and tissue infections. It also offers discussions on regulatory management for industrial sectors and medical environments. Given that there continues to be a paucity of effective antimicrobial products, devices, and coatings in clinical and industrial use that effectively reduce rates of infection or biofilm-related problems, Targeting Biofilms in Translational Research, Device Development, and Industrial Sectors, offers a fresh and much-needed perspective aimed at helping create healthier controlled environments and safer devices.
This comprehensive book is indispensable for industrial and academic translational researchers, device developers, and regulatory experts looking to create more effective antimicrobial products.
Автор: Rashid Khan; Anik Das Название: Build Better Chatbots ISBN: 1484231104 ISBN-13(EAN): 9781484231104 Издательство: Springer Рейтинг: Цена: 3772.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Learn best practices for building bots by focusing on the technological implementation and UX in this practical book. You will cover key topics such as setting up a development environment for creating chatbots for multiple channels (Facebook Messenger, Skype, and KiK); building a chatbot (design to implementation); integrating to IFTT (If This Then That) and IoT (Internet of Things); carrying out analytics and metrics for chatbots; and most importantly monetizing models and business sense for chatbots.
Build Better Chatbots is easy to follow with code snippets provided in the book and complete code open sourced and available to download.
With Facebook opening up its Messenger platform for developers, followed by Microsoft opening up Skype for development, a new channel has emerged for brands to acquire, engage, and service customers on chat with chatbots.
What You Will Learn
Work with the bot development life cycle
Master bot UX design
Integrate into the bot ecosystem
Maximize the business and monetization potential for bots
Who This Book Is For
Developers, programmers, and hobbyists who have basic programming knowledge. The book can be used by existing chatbot developers to gain a better understanding of analytics and the business side of bots.
Описание: Conversation as an interface is the best way for machines to interact with us using the universally accepted human tool that is language. Chatbots and voice user interfaces are two flavors of conversational UIs. Chatbots are real-time, data-driven answer engines that talk in natural language and are context-aware. Voice user interfaces are ...
Описание: The contributors here seek to define exactly what leadership is or should be, and how to effectively develop it. Guided by an unusual framework that looks at leadership across different sectors and functions, they examine what they view as the major leadership challenges throughout the world.
Автор: Boris Galitsky Название: Developing Enterprise Chatbots ISBN: 3030042987 ISBN-13(EAN): 9783030042981 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A chatbot is expected to be capable of supporting a cohesive and coherent conversation and be knowledgeable, which makes it one of the most complex intelligent systems being designed nowadays. Designers have to learn to combine intuitive, explainable language understanding and reasoning approaches with high-performance statistical and deep learning technologies. Today, there are two popular paradigms for chatbot construction:1. Build a bot platform with universal NLP and ML capabilities so that a bot developer for a particular enterprise, not being an expert, can populate it with training data;2. Accumulate a huge set of training dialogue data, feed it to a deep learning network and expect the trained chatbot to automatically learn “how to chat”. Although these two approaches are reported to imitate some intelligent dialogues, both of them are unsuitable for enterprise chatbots, being unreliable and too brittle.The latter approach is based on a belief that some learning miracle will happen and a chatbot will start functioning without a thorough feature and domain engineering by an expert and interpretable dialogue management algorithms.Enterprise high-performance chatbots with extensive domain knowledge require a mix of statistical, inductive, deep machine learning and learning from the web, syntactic, semantic and discourse NLP, ontology-based reasoning and a state machine to control a dialogue. This book will provide a comprehensive source of algorithms and architectures for building chatbots for various domains based on the recent trends in computational linguistics and machine learning. The foci of this book are applications of discourse analysis in text relevant assessment, dialogue management and content generation, which help to overcome the limitations of platform-based and data driven-based approaches.Supplementary material and code is available at https://github.com/bgalitsky/relevance-based-on-parse-trees
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