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Response Selection of Interview-Based Dialog System Using User Focus and Semantic Orientation

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Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 82))

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Abstract

This research examined the response selection method of an interview-based dialog system that obtains the user’s information by the chat-like conversation. In the interview dialog, the system should ask about the subject that the user is interested in to obtain the user’s information efficiently. In this paper, we proposed the method to select the system’s utterance based on the user’s emotion to a focus detected from the user’s utterance. We prepared the question types corresponding to the semantic orientation, such as the positive, neutral, and negative. The focus was detected by the CRF, and the question type was estimated from the user’s utterance and the system’s previous utterance.

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Notes

  1. 1.

    http://taku910.github.io/mecab/.

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Author information

Authors and Affiliations

  1. Graduate School of Engineering, Tohoku University, Sendai, Japan

    Shunsuke Tada, Yuya Chiba, Takashi Nose & Akinori Ito

Authors
  1. Shunsuke Tada
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  2. Yuya Chiba
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  3. Takashi Nose
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  4. Akinori Ito
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Corresponding author

Correspondence to Shunsuke Tada .

Editor information

Editors and Affiliations

  1. Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Swinburne University of Technology, Hawthorn, Victoria, Australia

    Pei-Wei Tsai

  3. Universiti Teknologi Petronas, Teronoh, Malaysia

    Junzo Watada

  4. University of Canberra, Bruce, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Tada, S., Chiba, Y., Nose, T., Ito, A. (2018). Response Selection of Interview-Based Dialog System Using User Focus and Semantic Orientation. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-319-63859-1_11

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  • DOI: https://doi.org/10.1007/978-3-319-63859-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63858-4

  • Online ISBN: 978-3-319-63859-1

  • eBook Packages: EngineeringEngineering (R0)

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