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Conversational Dialogue Systems for the Next Decade

  • Book
  • © 2021

Overview

  • Pushes forward the state of the art in dialog technologies
  • Offers advances to language and context understanding, and dialog management
  • Includes human–robot interaction, conversational agents, question answering, and lifelong learning for dialog systems

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 704)

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Table of contents (31 chapters)

  1. Chat-Based Agents

  2. Dialogue Evaluation and Analysis

  3. Dialogue Management and Pragmatic Models

  4. Dialogue Systems for e-health

Keywords

About this book

This book 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, question answering, human–robot interaction, chatbots design and evaluation, as well as topics related to the human nature of the conversational phenomena such as humour, social context, specific applications for e-health, understanding, and awareness

Editors and Affiliations

  • Speech Technology Group - Information Processing and Telecommunications Center (IPTC), Universidad Politécnica de Madrid, Madrid, Spain

    Luis Fernando D'Haro

  • Department of Languages and Computer Systems, Universidad de Granada, CITIC-UGR, Granada, Spain

    Zoraida Callejas

  • Information Science, Nara Institute of Science and Technology, Ikoma, Japan

    Satoshi Nakamura

About the editors

Prof. Luis Fernando D’Haro is an Associate Professor at Universidad Politécnica de Madrid (ETSIT, UPM, Spain). His current research is focused on spoken dialogue, natural language processing, and language and speaker recognition systems. He has published more than 130 papers in peer-reviewed journals, books, and conferences. He co-led the international Dialog State Tracking Challenges (DSTC) in 2015, 2016, and 2017 and the WOCHAT series workshops that target the advance of chatbots systems and their automatic evaluation since 2015. He was local Organizer for INTERSPEECH 2014, HAI 2016, and the International Workshop on Spoken Dialog Systems (IWSDS) in 2018. He is currently the General Chair for IWSDS2020, the Chief Guest Editor for a special issue at Computer Speech and Language for DSTC7, and Co-Organizer for DSTC9, DBDC5, and Chanel workshop at JSALT2020.

Prof. Zoraida Callejas obtained a Ph.D. in 2008 at the University of Granada (Spain) where she currently is anAssociate Professor. Her research focuses on areas related to dialogue systems, emotion processing, and user modelling. She has published more than 140 contributions to scientific journals, books, and conferences. She has participated in multiple projects in European and Spanish calls and is currently the Coordinator of the EU H2020-MSCA-RISE project MENHIR and the BONAPPPETIT project on conversational systems for mental health and the adoption of healthy habits by children, respectively. She has organized multiple conferences, workshops, and meetings, the most recent are IEEE BIBM 2018, NII SHONAN meeting on spoken multimodal dialogue systems technology for pervasive computing (2019), and IWSDS 2020.


Dr. Satoshi Nakamura is Director of data science centre, Professor of Nara Institute of Science and Technology (NAIST), Team Leader of RIKEN AIP, and Honorary Professor of Karlsruhe Institute of Technology, Germany. He received Ph.D. from Kyoto University in 1992.He was Director of ATR spoken language communication research laboratories in 2005–2008. He was Director-General of Keihanna Research Laboratories, National Institute of Information and Communications Technology, in 2009–2010. His research interests include speech processing, spoken dialogue systems, and natural language processing. He was a member of IEEE SLTC 2016-2018 and an elected board member of International Speech Communication Association, ISCA. He received Antonio Zampolli prize in 2012 and retained the title of ATR Fellow, IPSJ Fellow, IEEE Fellow and ISCA Fellow.

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