Conversational Ai For Natural Human Centric Interaction


Conversational Ai For Natural Human Centric Interaction
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Conversational Ai For Natural Human Centric Interaction


Conversational Ai For Natural Human Centric Interaction
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Author : Svetlana Stoyanchev
language : en
Publisher: Springer Nature
Release Date : 2022-10-31

Conversational Ai For Natural Human Centric Interaction written by Svetlana Stoyanchev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-31 with Technology & Engineering categories.


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.



Conversational Ai For Natural Human Centric Interaction


Conversational Ai For Natural Human Centric Interaction
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Author : Deyuan Meng
language : en
Publisher:
Release Date : 2022

Conversational Ai For Natural Human Centric Interaction written by Deyuan Meng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Artificial intelligence categories.


This book investigates the disagreement behavior analysis problems for signed networks in the presence of both cooperative and antagonistic interactions among agents. Owing to the existing antagonistic interactions, signed networks exhibit a variety of disagreement behaviors subject to different topology conditions, especially in comparison with commonly considered unsigned networks involving only cooperative interactions among agents. Since signed networks are generally adopted to describe the dynamics of some practical network systems, they have attracted much attention in many areas, such as biology, sociology, economics, and politics. By focusing on agents with the first-order linear dynamics, the book establishes the systematic behavior analysis frameworks for signed networks, under which diverse disagreement behaviors have been disclosed, including both convergence and fluctuation behaviors, regardless of static or dynamic network topologies. In particular, a class of dynamic signed networks has been introduced, together with the associated dynamic distributed controller design and disagreement behavior analysis of agents. This book is intended for undergraduate and graduate students, engineers, and researchers who are interested in control of network systems, multi-agent systems, social networks, and so on.



Neural Approaches To Conversational Information Retrieval


Neural Approaches To Conversational Information Retrieval
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Author : Jianfeng Gao
language : en
Publisher: Springer Nature
Release Date : 2023-03-16

Neural Approaches To Conversational Information Retrieval written by Jianfeng Gao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-16 with Computers categories.


This book surveys recent advances in Conversational Information Retrieval (CIR), focusing on neural approaches that have been developed in the last few years. Progress in deep learning has brought tremendous improvements in natural language processing (NLP) and conversational AI, leading to a plethora of commercial conversational services that allow naturally spoken and typed interaction, increasing the need for more human-centric interactions in IR. The book contains nine chapters. Chapter 1 motivates the research of CIR by reviewing the studies on how people search and subsequently defines a CIR system and a reference architecture which is described in detail in the rest of the book. Chapter 2 provides a detailed discussion of techniques for evaluating a CIR system – a goal-oriented conversational AI system with a human in the loop. Then Chapters 3 to 7 describe the algorithms and methods for developing the main CIR modules (or sub-systems). In Chapter 3, conversational document search is discussed, which can be viewed as a sub-system of the CIR system. Chapter 4 is about algorithms and methods for query-focused multi-document summarization. Chapter 5 describes various neural models for conversational machine comprehension, which generate a direct answer to a user query based on retrieved query-relevant documents, while Chapter 6 details neural approaches to conversational question answering over knowledge bases, which is fundamental to the knowledge base search module of a CIR system. Chapter 7 elaborates various techniques and models that aim to equip a CIR system with the capability of proactively leading a human-machine conversation. Chapter 8 reviews a variety of commercial systems for CIR and related tasks. It first presents an overview of research platforms and toolkits which enable scientists and practitioners to build conversational experiences, and continues with historical highlights and recent trends in a range of application areas. Chapter 9 eventually concludes the book with a brief discussion of research trends and areas for future work. The primary target audience of the book are the IR and NLP research communities. However, audiences with another background, such as machine learning or human-computer interaction, will also find it an accessible introduction to CIR.



Building Bridges


Building Bridges
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Author : A A Gillespie Limited
language : en
Publisher: A A Gillespie Limited
Release Date : 2024-03-25

Building Bridges written by A A Gillespie Limited and has been published by A A Gillespie Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-25 with Computers categories.


"Building Bridges: Integrating Dialogflow with AI for Seamless Conversational Experiences provides a comprehensive guide to developers and tech enthusiasts who are interested in creating conversational agents using Artificial Intelligence (AI) technologies, with a specific focus on integrating Dialogflow, Google's renowned natural language processing platform. Divided into clear sections, the book seamlessly connects different concepts, highlighting the importance of building bridges between technology and human interaction. The initial chapters lay the foundation by introducing the core principles behind conversational AI and its significance in today's digital landscape. The reader is acquainted with the importance of creating engaging conversational experiences that mimic natural human conversations. The graceful prose expertly introduces complex AI concepts in a simplified manner, allowing readers of all backgrounds to follow along. The subsequent chapters delve into the intricacies of Dialogflow, offering step-by-step instructions on how to integrate it seamlessly into various platforms and applications. From setting up agents to creating intents and entities, the author ensures that each explanation is concise and easily understandable. The text is adorned with detailed examples and accompanied by elegant diagrams, further enhancing the reader's understanding. The book also extensively covers context management, essential for creating truly interactive conversational agents. Concepts such as session management and maintaining state are demystified, making it effortless for readers to implement robust conversational experiences. The fluid structure of the book ensures that each chapter builds upon the previous one, leading the reader methodically through the complexities of integrating Dialogflow. In addition to the technical aspects, the author skillfully highlights the importance of proper dialog design and human-centered interactions. The text emphasizes the need to empathize with users by creating conversational agents that engage in meaningful and context-aware conversations. Through eloquent descriptions and vivid examples, the reader is encouraged to consider ethical implications and develop more inclusive conversational experiences. Building Bridges: Integrating Dialogflow with AI for Seamless Conversational Experiences concludes by exploring advanced concepts and emerging trends, giving the reader a glimpse into the future. The finely crafted prose and logical structure of the book ensure an effortless reading experience, making it accessible to both seasoned developers and newcomers to the field. In conclusion, Building Bridges: Integrating Dialogflow with AI for Seamless Conversational Experiences expertly guides readers through the fascinating world of conversational AI. Through its captivating prose and well-structured content, the book transforms complex technical concepts into graceful simplicity. Hopefully, it will inspire readers to harness the power of AI and bridge the gap between technology and humans, leading to the creation of highly engaging and seamless conversational experiences."



Chatbots And The Domestication Of Ai


Chatbots And The Domestication Of Ai
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Author : Hendrik Kempt
language : en
Publisher: Springer Nature
Release Date : 2020-09-26

Chatbots And The Domestication Of Ai written by Hendrik Kempt and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-26 with Social Science categories.


This book explores some of the ethical, legal, and social implications of chatbots, or conversational artificial agents. It reviews the possibility of establishing meaningful social relationships with chatbots and investigates the consequences of those relationships for contemporary debates in the philosophy of Artificial Intelligence. The author introduces current technological challenges of AI and discusses how technological progress and social change influence our understanding of social relationships. He then argues that chatbots introduce epistemic uncertainty into human social discourse, but that this can be ameliorated by introducing a new ontological classification or 'status' for chatbots. This step forward would allow humans to reap the benefits of this technological development, without the attendant losses. Finally, the author considers the consequences of chatbots on human-human relationships, providing analysis on robot rights, human-centered design, and the social tension between robophobes and robophiles.



Neural Approaches To Conversational Ai


Neural Approaches To Conversational Ai
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Author : Jianfeng Gao
language : en
Publisher:
Release Date : 2019

Neural Approaches To Conversational Ai written by Jianfeng Gao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.


This monograph provides a unified view, as well as a detailed presentation of the important ideas and insights needed to understand and create modern dialogue agents that will be instrumental to making world knowledge and services accessible to millions of users in ways that seem natural and intuitive.



Conversational Ai


Conversational Ai
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Author : Michael McTear
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Conversational Ai written by Michael McTear and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.


This book provides a comprehensive introduction to Conversational AI. While the idea of interacting with a computer using voice or text goes back a long way, it is only in recent years that this idea has become a reality with the emergence of digital personal assistants, smart speakers, and chatbots. Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to a new generation of dialogue systems and conversational interfaces. Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches to the development of dialogue systems. However, it is important to be aware of previous achievements in dialogue technology and to consider to what extent they might be relevant to current research and development. Three main approaches to the development of dialogue systems are reviewed: rule-based systems that are handcrafted using best practice guidelines; statistical data-driven systems based on machine learning; and neural dialogue systems based on end-to-end learning. Evaluating the performance and usability of dialogue systems has become an important topic in its own right, and a variety of evaluation metrics and frameworks are described. Finally, a number of challenges for future research are considered, including: multimodality in dialogue systems, visual dialogue; data efficient dialogue model learning; using knowledge graphs; discourse and dialogue phenomena; hybrid approaches to dialogue systems development; dialogue with social robots and in the Internet of Things; and social and ethical issues.



The Rise Of Ai User Applications


The Rise Of Ai User Applications
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Author : Svetlana Bialkova
language : en
Publisher: Springer Nature
Release Date :

The Rise Of Ai User Applications written by Svetlana Bialkova and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Mastering Natural Language Processing


Mastering Natural Language Processing
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Author : Cybellium Ltd
language : en
Publisher: Cybellium Ltd
Release Date :

Mastering Natural Language Processing written by Cybellium Ltd and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


Unveil the Secrets of Language Understanding and Generation In the realm of artificial intelligence and communication, Natural Language Processing (NLP) stands as a transformative force that bridges the gap between humans and machines. "Mastering Natural Language Processing" is your definitive guide to comprehending and harnessing the potential of this dynamic field, empowering you to create intelligent language-based applications with precision. About the Book: As technology evolves, the ability to understand and generate human language becomes increasingly essential. "Mastering Natural Language Processing" offers a comprehensive exploration of NLP—a crucial discipline in the world of AI and communication. This book caters to both beginners and experienced learners aiming to excel in NLP concepts, techniques, and applications. Key Features: NLP Fundamentals: Begin by understanding the core principles of Natural Language Processing. Learn about linguistic concepts, tokenization, and language models. Text Classification and Sentiment Analysis: Dive into text analysis techniques. Explore methods for classifying text and determining sentiment, enabling you to understand user opinions and emotions. Named Entity Recognition: Grasp the art of identifying entities in text. Understand how to extract names, places, dates, and other crucial information from unstructured data. Language Generation: Explore techniques for generating human-like language. Learn how to create chatbots, language models, and automated content. Machine Translation: Understand the significance of machine translation. Learn how to build systems that translate text between languages with accuracy. Speech Recognition: Delve into the realm of speech recognition. Explore techniques for converting spoken language into text, enabling voice interfaces and transcription. Question Answering Systems: Grasp the power of question-answering systems. Learn how to build applications that provide answers to user questions based on available data. Real-World Applications: Gain insights into how NLP is applied across industries. From customer service to healthcare, discover the diverse applications of natural language processing. Why This Book Matters: In an age of communication and interaction, mastering NLP offers a competitive advantage. "Mastering Natural Language Processing" empowers data scientists, developers, and technology enthusiasts to leverage NLP concepts, enabling them to create intelligent language-based applications that enhance user experiences and drive innovation. Revolutionize Communication with AI: In the landscape of artificial intelligence, Natural Language Processing is transforming how humans and machines interact. "Mastering Natural Language Processing" equips you with the knowledge needed to leverage NLP concepts, enabling you to create intelligent language-based applications that bridge communication gaps and redefine possibilities. Whether you're a seasoned practitioner or new to the world of NLP, this book will guide you in building a solid foundation for effective language-based solutions. Your journey to mastering Natural Language Processing starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com



Human Centered Ai


Human Centered Ai
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Author : Ben Shneiderman
language : en
Publisher: Oxford University Press
Release Date : 2022-01-13

Human Centered Ai written by Ben Shneiderman and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-13 with Computers categories.


The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.