Conversational Ai For Natural Human Centric Interaction
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| Author | : Svetlana Stoyanchev |
| Publisher | : Springer Nature |
| Total Pages | : 303 |
| Release | : 2022-10-31 |
| Genre | : Technology & Engineering |
| ISBN | : 9811955387 |
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.
| Author | : Cybellium Ltd |
| Publisher | : Cybellium Ltd |
| Total Pages | : 236 |
| Release | : |
| Genre | : Computers |
| ISBN | : |
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
| Author | : Jianfeng Gao |
| Publisher | : Springer Nature |
| Total Pages | : 217 |
| Release | : 2023-03-16 |
| Genre | : Computers |
| ISBN | : 3031230809 |
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.
| Author | : Jianfeng Gao |
| Publisher | : Foundations and Trends(r) in I |
| Total Pages | : 184 |
| Release | : 2019-02-21 |
| Genre | : Computers |
| ISBN | : 9781680835526 |
This monograph is the first survey of neural approaches to conversational AI that targets Natural Language Processing and Information Retrieval audiences. It provides a comprehensive survey of the neural approaches to conversational AI that have been developed in the last few years, covering QA, task-oriented and social bots with a unified view of optimal decision making.The authors draw connections between modern neural approaches and traditional approaches, allowing readers to better understand why and how the research has evolved and to shed light on how they can move forward. They also present state-of-the-art approaches to training dialogue agents using both supervised and reinforcement learning. Finally, the authors sketch out the landscape of conversational systems developed in the research community and released in industry, demonstrating via case studies the progress that has been made and the challenges that are still being faced.Neural Approaches to Conversational AI is a valuable resource for students, researchers, and software developers. It 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.
| Author | : Kohei Arai |
| Publisher | : Springer Nature |
| Total Pages | : 675 |
| Release | : |
| Genre | : |
| ISBN | : 3031663365 |
| Author | : Hamid Aghajan |
| Publisher | : Academic Press |
| Total Pages | : 543 |
| Release | : 2009-09-25 |
| Genre | : Computers |
| ISBN | : 0080878504 |
To create truly effective human-centric ambient intelligence systems both engineering and computing methods are needed. This is the first book to bridge data processing and intelligent reasoning methods for the creation of human-centered ambient intelligence systems. Interdisciplinary in nature, the book covers topics such as multi-modal interfaces, human-computer interaction, smart environments and pervasive computing, addressing principles, paradigms, methods and applications. This book will be an ideal reference for university researchers, R&D engineers, computer engineers, and graduate students working in signal, speech and video processing, multi-modal interfaces, human-computer interaction and applications of ambient intelligence. Hamid Aghajan is a Professor of Electrical Engineering (consulting) at Stanford University, USA. His research is on user-centric vision applications in smart homes, assisted living / well being, smart meetings, and avatar-based social interactions. He is Editor-in-Chief of "Journal of Ambient Intelligence and Smart Environments", has chaired ACM/IEEE ICDSC 2008, and organized workshops/sessions/tutorials at ECCV, ACM MM, FG, ECAI, ICASSP, CVPR. Juan Carlos Augusto is a Lecturer at the University of Ulster, UK. He is conducting research on Smart Homes and Classrooms. He has given tutorials at IJCAI'07 and AAAI'08. He is Editor-in-Chief of the Book Series on "Ambient Intelligence and Smart Environments" and the "Journal of Ambient Intelligence and Smart Environments". He has co-Chaired ICOST'06, AITAmI'06/07/08, and is Workshops Chair for IE'09. Ramón López-Cózar Delgado is a Professor at the Faculty of Computer Science and Telecommunications of the University of Granada, Spain. His research interests include speech recognition and understanding, dialogue management and Ambient Intelligence. He is a member of ISCA (International Speech Communication Association), SEPLN (Spanish Society on Natural Language Processing) and AIPO (Spanish Society on HCI). - Integrates engineering and computing methods that are essential for designing and implementing highly effective ambient intelligence systems - Contains contributions from the world's leading experts in academia and industry - Gives a complete overview of the principles, paradigms and applications of human-centric ambient intelligence systems
| Author | : Chang S. Nam |
| Publisher | : Academic Press |
| Total Pages | : 314 |
| Release | : 2022-05-15 |
| Genre | : Psychology |
| ISBN | : 0323856497 |
Human-Centered Artificial Intelligence: Research and Applications presents current theories, fundamentals, techniques and diverse applications of human-centered AI. Sections address the question, "are AI models explainable, interpretable and understandable?, introduce readers to the design and development process, including mind perception and human interfaces, explore various applications of human-centered AI, including human-robot interaction, healthcare and decision-making, and more. As human-centered AI aims to push the boundaries of previously limited AI solutions to bridge the gap between machine and human, this book is an ideal update on the latest advances. - Presents extensive research on human-centered AI technology - Provides different methods and techniques used to investigate human-AI interaction - Discusses open questions and challenges in trust within human-centered AI - Explores how human-centered AI changes and operates in human-machine interactions
| Author | : Svetlana Stoyanchev |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2022 |
| Genre | : |
| ISBN | : 9789811955396 |
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.
| Author | : Constantine Stephanidis |
| Publisher | : Springer Nature |
| Total Pages | : 525 |
| Release | : 2020-11-07 |
| Genre | : Computers |
| ISBN | : 3030607003 |
This book constitutes the poster papers presented during the 22nd International Conference on Human-Computer Interaction, HCII 2020, which was held in July 2020. The conference was planned to take place in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic. From a total of 6326 submissions, a total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings before the conference took place. In addition, a total of 333 papers and 144 posters are included in the volumes of the proceedings published after the conference as “Late Breaking Work” (papers and posters). These contributions address the latest research and development efforts in the field and highlight the human aspects of design and use of computing systems. The 62 papers presented in this volume are organized in topical sections as follows: HCI theory, methods and tools; mobile and multimodal interaction; interacting with data, information and knowledge; interaction and intelligence; user experience, emotions and psychophysiological computing.
| Author | : Alain Rondelli |
| Publisher | : Alain RONDELLI |
| Total Pages | : 227 |
| Release | : 2023-09-16 |
| Genre | : Business & Economics |
| ISBN | : |
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