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9th International Workshop on Spoken Dialogue System Technology

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Luis Fernando D'Haro

    1. Universidad Politécnica de Madrid, Madrid, Spain

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  2. Rafael E. Banchs

    1. Nanyang Technological University, Singapore, Singapore

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  3. Haizhou Li

    1. Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

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  • Presents the outcomes of the ?9th IWSDS, “Towards creating more human-like conversational agent technologies”

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 579)

Included in the following conference series:

Conference proceedings info: IWSDS 2019.

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Table of contents (37 papers)

  1. Front Matter

    Pages i-xvi
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  2. Language and Social Context Understanding

    1. Front Matter

      Pages 1-1
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    2. Attention Based Joint Model with Negative Sampling for New Slot Values Recognition

      • Mulan Hou, Xiaojie Wang, Caixia Yuan, Guohua Yang, Shuo Hu, Yuanyuan Shi
      Pages 3-15

    3. Dialogue Act Classification in Reference Interview Using Convolutional Neural Network with Byte Pair Encoding

      • Seiya Kawano, Koichiro Yoshino, Yu Suzuki, Satoshi Nakamura
      Pages 17-25

    4. “I Think It Might Help If We Multiply, and Not Add”: Detecting Indirectness in Conversation

      • Pranav Goel, Yoichi Matsuyama, Michael Madaio, Justine Cassell
      Pages 27-40

    5. Automated Classification of Classroom Climate by Audio Analysis

      • Anusha James, Yi Han Victoria Chua, Tomasz Maszczyk, Ana Moreno Núñez, Rebecca Bull, Kerry Lee et al.
      Pages 41-49

    6. Automatic Turn-Level Language Identification for Code-Switched Spanish–English Dialog

      • Vikram Ramanarayanan, Robert Pugh, Yao Qian, David Suendermann-Oeft
      Pages 51-61

  3. Dialogue Management and Pragmatic Models

    1. Front Matter

      Pages 63-63
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    2. Spoken Dialogue System for a Human-like Conversational Robot ERICA

      • Tatsuya Kawahara
      Pages 65-75

    3. Dialog State Tracking for Unseen Values Using an Extended Attention Mechanism

      • Takami Yoshida, Kenji Iwata, Hiroshi Fujimura, Masami Akamine
      Pages 77-89

    4. Generating Fillers Based on Dialog Act Pairs for Smooth Turn-Taking by Humanoid Robot

      • Ryosuke Nakanishi, Koji Inoue, Shizuka Nakamura, Katsuya Takanashi, Tatsuya Kawahara
      Pages 91-101

    5. Testing Strategies For Bridging Time-To-Content In Spoken Dialogue Systems

      • Soledad López Gambino, Sina Zarrieß, David Schlangen
      Pages 103-109

    6. Faster Responses Are Better Responses: Introducing Incrementality into Sociable Virtual Personal Assistants

      • Vivian Tsai, Timo Baumann, Florian Pecune, Justine Cassell
      Pages 111-118

    7. Latent Character Model for Engagement Recognition Based on Multimodal Behaviors

      • Koji Inoue, Divesh Lala, Katsuya Takanashi, Tatsuya Kawahara
      Pages 119-130

    8. Utilizing Argument Mining Techniques for Argumentative Dialogue Systems

      • Niklas Rach, Saskia Langhammer, Wolfgang Minker, Stefan Ultes
      Pages 131-142

  4. Dialogue Evaluation and Analysis

    1. Front Matter

      Pages 143-143
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    2. Multimodal Dialogue System Evaluation: A Case Study Applying Usability Standards

      • Andrei Malchanau, Volha Petukhova, Harry Bunt
      Pages 145-159

    3. Toward Low-Cost Automated Evaluation Metrics for Internet of Things Dialogues

      • Kallirroi Georgila, Carla Gordon, Hyungtak Choi, Jill Boberg, Heesik Jeon, David Traum
      Pages 161-175

    4. Estimating User Satisfaction Impact in Cities Using Physical Reaction Sensing and Multimodal Dialogue System

      • Yuki Matsuda, Dmitrii Fedotov, Yuta Takahashi, Yutaka Arakawa, Keiichi Yasumoto, Wolfgang Minker
      Pages 177-183

    5. Automated Lexical Analysis of Interviews with Individuals with Schizophrenia

      • Shihao Xu, Zixu Yang, Debsubhra Chakraborty, Yasir Tahir, Tomasz Maszczyk, Yi Han Victoria Chua et al.
      Pages 185-197
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Keywords

About this book

This book presents the outcomes of the 9th International Workshop on Spoken Dialogue Systems (IWSDS), “Towards creating more human-like conversational agent technologies”. It compiles and provides a synopsis of current global research to push forward the state of the art in dialogue technologies, including advances in the context of the classical problems of language understanding, dialogue management and language generation, as well as cognitive topics related to the human nature of conversational phenomena, such as humor, empathy and social context understanding and awareness.

Editors and Affiliations

  • Universidad Politécnica de Madrid, Madrid, Spain

    Luis Fernando D'Haro

  • Nanyang Technological University, Singapore, Singapore

    Rafael E. Banchs

  • Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

    Haizhou Li

About the editors

Prof. Luis Fernando D’Haro is an Associate Professor at Universidad Politécnica de Madrid (ETSIT, UPM) in Spain and a member of the Speech Technology Group. His current research mainly focuses on spoken dialogue and natural language processing systems, as well as on different applications of spoken language technologies (especially language and speaker identification), and he has written has more than 15 international publications on dialog systems. He co-led the International Dialog State Tracking Challenges (DSTC) in 2015 and 2016 and is a co-organizer of the DSTC7 challenge, with over 220 registered participants. Since 2015, Prof. D’Haro has co-organized the Wo-Chat series of workshops, which have the common goal of advancing chatbot systems and their automatic evaluation. He was also one of the local organizers of Interspeech in 2014 and the International Workshop on Spoken Dialog Systems in 2018.
 
Dr. Rafael E. Banchs is a Senior Data Scientist at Intapp Inc. and an Adjunct Associate Professor at the Nanyang Technological University. His research focuses on natural language processing and related applications, such as dialogue systems, information retrieval, machine translation and text mining. He has also been involved in organizing various international workshops and conferences, including CAW2 at WWW 2009, ESIRMT at EACL 2012, R50 at ACL 2012, HyTra-1 at EACL 2012, HyTra-2 at ACL 2013 and AIRS 2013, HyTra-3 at EACL 2014, HyTra-4 at ACL 2015, and NEWS at ACL 2015, 2017 and 2018.
 
Prof. Haizhou Li received his Ph.D degree from South China University of Technology, Guangzhou, China in 1990. He is a Professor at the Department of Electrical and Computer Engineering, National University of Singapore. His research interests include speech information processing and natural language processing.He has served as the Editor-in-Chief of IEEE/ACM Transactions on Audio, Speech and Language Processing (2015-2018). He was the President of the International Speech Communication Association (ISCA, 2015-2017), and of Asia Pacific Signal and Information Processing Association (APSIPA, 2015-2016). He is a Fellow of the IEEE and the ISCA.


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