Описание: This book constitutes the proceedings of the 5th International Workshop on Chatbot Research and Design, CONVERSATIONS 2021, which was held during November 2021.Due to COVID-19 pandemic the conference was held online. The 12 papers included in this volume were carefully reviewed and selected from a total of 25 submissions. The papers in the proceedings are structured in four topical groups: Chatbot User Insight, Chatbots Supporting Collaboration and Social Interaction, and Chatbot UX and Design.
Автор: Asbj?rn F?lstad; Theo Araujo; Symeon Papadopoulos; Название: Chatbot Research and Design ISBN: 3030395391 ISBN-13(EAN): 9783030395391 Издательство: Springer Рейтинг: Цена: 9146.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The 18 revised full papers presented in this volume were carefully reviewed and selected from 31 submissions. The papers are grouped in the following topical sections: user and communication studies user experience and design, chatbots for collaboration, chatbots for customer service, and chatbots in education.
Описание: This book constitutes the proceedings of the 4th International Workshop on Chatbot Research and Design, CONVERSATIONS 2020, which was held during November 23-24, 2020, hosted by the University of Amsterdam.
Автор: Sviatlana H?hn Название: Artificial Companion for Second Language Conversation ISBN: 303015503X ISBN-13(EAN): 9783030155032 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The research described in this book shows that conversation analysis can effectively model dialogue. Specifically, this work shows that the multidisciplinary field of communicative ICALL may greatly benefit from including Conversation Analysis. As a consequence, this research makes several contributions to the related research disciplines, such as conversation analysis, second-language acquisition, computer-mediated communication, artificial intelligence, and dialogue systems.The book will be of value for researchers and engineers in the areas of computational linguistics, intelligent assistants, and conversational interfaces.
Автор: McTear, Michael Название: Conversational AI ISBN: 3031010485 ISBN-13(EAN): 9783031010484 Издательство: Springer Рейтинг: Цена: 7927.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches to the development of dialogue systems. Finally, a number of challenges for future research are considered, including: multimodality in dialogue systems, visual dialogue;
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.
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.
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