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Natural Language Dialog Systems and Intelligent Assistants

  • Book
  • © 2015

Overview

Editors:
  1. G.G. Lee

    1. Department of Computer Science and Engin, Pohang University of Science & Tech, Namgu, Pohang, Korea (Republic of)

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  2. H.K. Kim

    1. School of Information and Communications, Gwangju Institute of Science and Tech, Buk-gu, Gwangju, Korea (Republic of)

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  3. M. Jeong

    1. Microsoft Corporation, Redmond, USA

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  4. J.-H. Kim

    1. Dept of Computer Science and Engineering, Sogang University, Mapo-gu, Seoul, Korea (Republic of)

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  • Presents implementation of Spoken Dialog Systems and intelligent assistants in everyday applications
  • Covers tested, scientific successes in language processing and outlines the various applications
  • Addresses issues in regards to spoken dialog systems with applications in robotics, knowledge access and communication

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Table of contents (27 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Rapidly Scaling Dialog Systems with Interactive Learning

    • Jason D. Williams, Nobal B. Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Carlos Garcia Jurado Suarez, Mouni Reddy et al.
    Pages 1-13

  3. News Navigation System Based on Proactive Dialogue Strategy

    • Koichiro Yoshino, Tatsuya Kawahara
    Pages 15-25

  4. Evaluation of Machine-Led Error Recovery Strategies for Domain Switches in a Spoken Dialog System

    • Sven Reichel, Ute Ehrlich, André Berton, Michael Weber
    Pages 27-39

  5. Analysis of an Extended Interaction Quality Corpus

    • Stefan Ultes, María Jesús Platero Sánchez, Alexander Schmitt, Wolfgang Minker
    Pages 41-52

  6. HALEF: An Open-Source Standard-Compliant Telephony-Based Modular Spoken Dialog System: A Review and An Outlook

    • David Suendermann-Oeft, Vikram Ramanarayanan, Moritz Teckenbrock, Felix Neutatz, Dennis Schmidt
    Pages 53-61

  7. Micro-Counseling Dialog System Based on Semantic Content

    • Sangdo Han, Yonghee Kim, G. G. Lee
    Pages 63-72

  8. Users’ Belief Awareness in Reinforcement Learning-Based Situated Human–Robot Dialogue Management

    • Emmanuel Ferreira, Grégoire Milliez, Fabrice Lefèvre, Rachid Alami
    Pages 73-86

  9. Scalable Summary-State POMDP Hybrid Dialog System for Multiple Goal Drifting Requests and Massive Slot Entity Instances

    • Sangjun Koo, Seonghan Ryu, Kyusong Lee, G. G. Lee
    Pages 87-96

  10. A Voice QR Code for Mobile Devices

    • Donghyun Lee, Minkyu Lim, Minho Ryang, Kwang-Ho Kim, Gil-Jin Jang, Jeong-Sik Park et al.
    Pages 97-100

  11. Detecting Multiple Domains from User’s Utterance in Spoken Dialog System

    • Seonghan Ryu, Jaiyoun Song, Sangjun Koo, Soonchoul Kwon, G. G. Lee
    Pages 101-111

  12. DietTalk: Diet and Health Assistant Based on Spoken Dialog System

    • Sohyeon Jung, Seonghan Ryu, Sangdo Han, G. G. Lee
    Pages 113-118

  13. Lexicon Optimization for WFST-Based Speech Recognition Using Acoustic Distance Based Confusability Measure and G2P Conversion

    • Nam Kyun Kim, Woo Kyeong Seong, H. K. Kim
    Pages 119-127

  14. Linguistic Individuality Transformation for Spoken Language

    • Masahiro Mizukami, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura
    Pages 129-143

  15. A Study on Natural Expressive Speech: Automatic Memorable Spoken Quote Detection

    • Fajri Koto, Sakriani Sakti, Graham Neubig, Tomoki Toda, Mirna Adriani, Satoshi Nakamura
    Pages 145-152

  16. Evaluation of a Fully Automatic Cooperative Persuasive Dialogue System

    • Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura
    Pages 153-167

  17. Unknown Word Detection Based on Event-Related Brain Desynchronization Responses

    • Takafumi Sasakura, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura
    Pages 169-175

  18. An Analysis Towards Dialogue-Based Deception Detection

    • Yuiko Tsunomori, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura
    Pages 177-187

  19. Pair Me Up: A Web Framework for Crowd-Sourced Spoken Dialogue Collection

    • Ramesh Manuvinakurike, David DeVault
    Pages 189-201

  20. Creating a Virtual Neighbor

    • Carina Corbin, Fabrizio Morbini, David Traum
    Pages 203-208
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Keywords

About this book

This book covers state-of-the-art topics on the practical implementation of Spoken Dialog Systems and intelligent assistants in everyday applications. It presents scientific achievements in language processing that result in the development of successful applications and addresses general issues regarding the advances in Spoken Dialog Systems with applications in robotics, knowledge access and communication. Emphasis is placed on the following topics: speaker/language recognition, user modeling / simulation, evaluation of dialog system, multi-modality / emotion recognition from speech, speech data mining, language resource and databases, machine learning for spoken dialog systems and educational and healthcare applications.

Editors and Affiliations

  • Department of Computer Science and Engin, Pohang University of Science & Tech, Namgu, Pohang, Korea (Republic of)

    G.G. Lee

  • School of Information and Communications, Gwangju Institute of Science and Tech, Buk-gu, Gwangju, Korea (Republic of)

    H.K. Kim

  • Microsoft Corporation, Redmond, USA

    M. Jeong

  • Dept of Computer Science and Engineering, Sogang University, Mapo-gu, Seoul, Korea (Republic of)

    J.-H. Kim

Bibliographic Information

  • Book Title: Natural Language Dialog Systems and Intelligent Assistants

  • Editors: G.G. Lee, H.K. Kim, M. Jeong, J.-H. Kim

  • DOI: https://doi.org/10.1007/978-3-319-19291-8

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-19290-1Published: 08 October 2015

  • Softcover ISBN: 978-3-319-36549-7Published: 23 August 2016

  • eBook ISBN: 978-3-319-19291-8Published: 28 September 2015

  • Edition Number: 1

  • Number of Pages: X, 275

  • Number of Illustrations: 24 b/w illustrations, 46 illustrations in colour

  • Topics: User Interfaces and Human Computer Interaction, Computational Linguistics, Signal, Image and Speech Processing

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