Автор: Eduard H. Hovy; Donia R. Scott Название: Computational and Conversational Discourse ISBN: 3540609482 ISBN-13(EAN): 9783540609483 Издательство: Springer Рейтинг: Цена: 26216.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume discusses topics which range from multi-party conversational interactions to deconstructing text from various perspectives, considering topic-focus development and discourse structure, and an empirical study of discourse segmentation.
Create next-level AI assistants and transform how customers communicate with businesses with the power of natural language understanding and dialogue management using Rasa
Key Features:
Understand the architecture and put the underlying principles of the Rasa framework to practice
Learn how to quickly build different types of chatbots such as task-oriented, FAQ-like, and knowledge graph-based chatbots
Explore best practices for working with Rasa and its debugging and optimizing aspects
Book Description:
The Rasa framework enables developers to create industrial-strength chatbots using state-of-the-art natural language processing (NLP) and machine learning technologies quickly, all in open source.
Conversational AI with Rasa starts by showing you how the two main components at the heart of Rasa work - Rasa NLU (natural language understanding) and Rasa Core. You'll then learn how to build, configure, train, and serve different types of chatbots from scratch by using the Rasa ecosystem. As you advance, you'll use form-based dialogue management, work with the response selector for chitchat and FAQ-like dialogs, make use of knowledge base actions to answer questions for dynamic queries, and much more. Furthermore, you'll understand how to customize the Rasa framework, use conversation-driven development patterns and tools to develop chatbots, explore what your bot can do, and easily fix any mistakes it makes by using interactive learning. Finally, you'll get to grips with deploying the Rasa system to a production environment with high performance and high scalability and cover best practices for building an efficient and robust chat system.
By the end of this book, you'll be able to build and deploy your own chatbots using Rasa, addressing the common pain points encountered in the chatbot life cycle.
What You Will Learn:
Use the response selector to handle chitchat and FAQs
Create custom actions using the Rasa SDK
Train Rasa to handle complex named entity recognition
Become skilled at building custom components in the Rasa framework
Validate and test dialogs end to end in Rasa
Develop and refine a chatbot system by using conversation-driven deployment processing
Use TensorBoard for tuning to find the best configuration options
Debug and optimize dialogue systems based on Rasa
Who this book is for:
This book is for NLP professionals as well as machine learning and deep learning practitioners who have knowledge of natural language processing and want to build chatbots with Rasa. Anyone with beginner-level knowledge of NLP and deep learning will be able to get the most out of the book.
Автор: Eduard H. Hovy; Donia R. Scott Название: Computational and Conversational Discourse ISBN: 3642082440 ISBN-13(EAN): 9783642082443 Издательство: Springer Рейтинг: Цена: 20516.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced Research Workshop on Burning Issues in Discourse, held in Maratea, Italy, April 13-15, 1993
Автор: Simon Elias Bibri Название: The Human Face of Ambient Intelligence ISBN: 9462391297 ISBN-13(EAN): 9789462391291 Издательство: Springer Рейтинг: Цена: 11586.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Human Face of Ambient Intelligence
Автор: Zs?fia Ruttkay; Catherine Pelachaud Название: From Brows to Trust ISBN: 9048167132 ISBN-13(EAN): 9789048167135 Издательство: Springer Рейтинг: Цена: 20123.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Embodied conversational agents (ECAs) are autonomous software entities with human-like appearance and communication skills.
Автор: Williams Sam Название: Hands-On Chatbot Development with Alexa Skills and Amazon Lex ISBN: 1788993489 ISBN-13(EAN): 9781788993487 Издательство: Неизвестно Рейтинг: Цена: 8458.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will help you to discover important AWS services such as S3 and DyanmoDB. Gain practical experience building end-to-end application workflows using NodeJS and AWS Lambda for your Alexa Skills Kit. You will be able to build conversational interfaces using voice or text and deploy them to platforms like Alexa, Facebook Messenger and Slack.
Автор: McTear Michael, Callejas Zoraida, Griol David Название: The Conversational Interface: Talking to Smart Devices ISBN: 3319814117 ISBN-13(EAN): 9783319814117 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive introduction to the conversational interface, which is becoming the main mode of interaction with virtual personal assistants, smart devices, various types of wearable, and social robots.
With recent advances in natural language understanding techniques and far-field microphone arrays, natural language interfaces, such as voice assistants and chatbots, are emerging as a popular new way to interact with computers.
They have made their way out of the industry research labs and into the pockets, desktops, cars and living rooms of the general public. But although such interfaces recognize bits of natural language, and even voice input, they generally lack conversational competence, or the ability to engage in natural conversation. Today's platforms provide sophisticated tools for analyzing language and retrieving knowledge, but they fail to provide adequate support for modeling interaction. The user experience (UX) designer or software developer must figure out how a human conversation is organized, usually relying on commonsense rather than on formal knowledge. Fortunately, practitioners can rely on conversation science.
This book adapts formal knowledge from the field of Conversation Analysis (CA) to the design of natural language interfaces. It outlines the Natural Conversation Framework (NCF), developed at IBM Research, a systematic framework for designing interfaces that work like natural conversation. The NCF consists of four main components: 1) an interaction model of "expandable sequences," 2) a corresponding content format, 3) a pattern language with 100 generic UX patterns and 4) a navigation method of six basic user actions. The authors introduce UX designers to a new way of thinking about user experience design in the context of conversational interfaces, including a new vocabulary, new principles and new interaction patterns. User experience designers and graduate students in the HCI field as well as developers and conversation analysis students should find this book of interest.
Автор: Stoyanchev Название: Conversational AI for Natural Human-Centric Interaction ISBN: 9811955379 ISBN-13(EAN): 9789811955372 Издательство: Springer Рейтинг: Цена: 21953.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes peer-reviewed articles from the 12th International Workshop on Spoken Dialogue System Technology, IWSDS 2021, Singapore. Nowadays, dialogue systems or conversational agents have become one of the most important mechanisms for human-computer or human-robot interaction that has been widely adopted as new paradigm for many applications, companies, and final users. On the other hand, recent advances in natural language processing, understanding and generation, as well as a continuous increasing computational power and large number of resources and data, have brought important and consistent improvements to the capabilities of dialogue systems enabling users to have more productive and enjoyable interactions. However, on the threshold of a new decade, the current state of the art shows important areas where improvements are needed such as incorporation of ground-based knowledge, personality, emotions, and adaptability, as well as automatic mechanisms for objective, robust and fast evaluations, especially in the context of developing social and e-health applications. In this 12th edition of the International Workshop on Spoken Dialogue Systems (IWSDS), “Conversational AI for natural human-centric interaction“ compiles and presents a synopsis on current global research efforts to push forward the state of the art in dialogue technologies, including advances to the classical problems of dialogue management, language generation and understanding, personalisation and generation, spokena and multimodal interaction, dialogue evaluation, dialogue modelling and applications, as well as topics related to chatbots and conversational agent technologies.
Описание: The Handbook on Socially Interactive Agents provides a comprehensive overview of the research fields of Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics. Socially Interactive Agents (SIAs), whether virtually or physically embodied, are autonomous agents that are able to perceive an environment including people or other agents, reason, decide how to interact, and express attitudes such as emotions, engagement, or empathy. They are capable of interacting with people and one another in a socially intelligent manner using multimodal communicative behaviors, with the goal to support humans in various domains.
Written by international experts in their respective fields, the book summarizes research in the many important research communities pertinent for SIAs, while discussing current challenges and future directions. The handbook provides easy access to modeling and studying SIAs for researchers and students, and aims at further bridging the gap between the research communities involved.
In two volumes, the book clearly structures the vast body of research. The first volume starts by introducing what is involved in SIAs research, in particular research methodologies and ethical implications of developing SIAs. It further examines research on appearance and behavior, focusing on multimodality. Finally, social cognition for SIAs is investigated using different theoretical models and phenomena such as theory of mind or pro-sociality. The second volume starts with perspectives on interaction, examined from different angles such as interaction in social space, group interaction, or long-term interaction. It also includes an extensive overview summarizing research and systems of human–agent platforms and of some of the major application areas of SIAs such as education, aging support, autism, and games.
With recent advances in natural language understanding techniques and far-field microphone arrays, natural language interfaces, such as voice assistants and chatbots, are emerging as a popular new way to interact with computers.
They have made their way out of the industry research labs and into the pockets, desktops, cars and living rooms of the general public. But although such interfaces recognize bits of natural language, and even voice input, they generally lack conversational competence, or the ability to engage in natural conversation. Today's platforms provide sophisticated tools for analyzing language and retrieving knowledge, but they fail to provide adequate support for modeling interaction. The user experience (UX) designer or software developer must figure out how a human conversation is organized, usually relying on commonsense rather than on formal knowledge. Fortunately, practitioners can rely on conversation science.
This book adapts formal knowledge from the field of Conversation Analysis (CA) to the design of natural language interfaces. It outlines the Natural Conversation Framework (NCF), developed at IBM Research, a systematic framework for designing interfaces that work like natural conversation. The NCF consists of four main components: 1) an interaction model of "expandable sequences," 2) a corresponding content format, 3) a pattern language with 100 generic UX patterns and 4) a navigation method of six basic user actions. The authors introduce UX designers to a new way of thinking about user experience design in the context of conversational interfaces, including a new vocabulary, new principles and new interaction patterns. User experience designers and graduate students in the HCI field as well as developers and conversation analysis students should find this book of interest.
Build enterprise chatbots for web, social media, voice assistants, IoT, and telephony contact centers with Google's Dialogflow conversational AI technology. This book will explain how to get started with conversational AI using Google and how enterprise users can use Dialogflow as part of Google Cloud. It will cover the core concepts such as Dialogflow essentials, deploying chatbots on web and social media channels, and building voice agents including advanced tips and tricks such as intents, entities, and working with context.
The Definitive Guide to Conversational AI with Dialogflow and Google Cloud also explains how to build multilingual chatbots, orchestrate sub chatbots into a bigger conversational platform, use virtual agent analytics with popular tools, such as BigQuery or Chatbase, and build voice bots. It concludes with coverage of more advanced use cases, such as building fulfillment functionality, building your own integrations, securing your chatbots, and building your own voice platform with the Dialogflow SDK and other Google Cloud machine learning APIs.
After reading this book, you will understand how to build cross-channel enterprise bots with popular Google tools such as Dialogflow, Google Cloud AI, Cloud Run, Cloud Functions, and Chatbase.
What You Will Learn
Discover Dialogflow, Dialogflow Essentials, Dialogflow CX, and how machine learning is used
Create Dialogflow projects for individuals and enterprise usage
Work with Dialogflow essential concepts such as intents, entities, custom entities, system entities, composites, and how to track context
Build bots quickly using prebuilt agents, small talk modules, and FAQ knowledge bases
Use Dialogflow for an out-of-the-box agent review
Deploy text conversational UIs for web and social media channels
Build voice agents for voice assistants, phone gateways, and contact centers
Create multilingual chatbots
Orchestrate many sub-chatbots to build a bigger conversational platform
Use chatbot analytics and test the quality of your Dialogflow agent
See the new Dialogflow CX concepts, how Dialogflow CX fits in, and what's different in Dialogflow CX
Who This Book Is For
Everyone interested in building chatbots for web, social media, voice assistants, or contact centers using Google's conversational AI/cloud technology.
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