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Generating Dialogue Sentences to Promote Critical Thinking

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Database and Expert Systems Applications (DEXA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12391))

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Abstract

Conventional dialogue generating methods focus on generating fluent sentences in context, but insufficient consideration of speaker emotions. They often generate sentences with the same sentimental polarity of the speakers. Such that sentences are hard to change the mood or viewpoints of the speakers, i.e., from a negative mood to positive one, etc. In this paper, we propose a method to generate dialogue sentences to provide different viewpoints. To this end, we propose two novel concepts, polarity co-occurrence (P-Cooc) and modification co-occurrence (M-Cooc). P-Cooc is used to find aspects providing different and comfortable viewpoints, and M-Cooc is used to find proper modification terms to such that aspects. The experimental results demonstrate that our method could provide supplementary viewpoints to promote critical thinking.

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Notes

  1. 1.

    In this study, we use the hotel review data-set of Datafinity [18] as the corpus. There are 147,236 sentences in the data-set.

  2. 2.

    We have 20 subjects in our experiment.

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Acknowledgements

This work is partly supported by MIC SCOPE (172307001, 201607008) and KAKENHI (19H04116).

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Authors and Affiliations

  1. Kyoto University, Yoshidahonmachi, Sakyo, Kyoto, Japan

    Satoshi Yoshida & Qiang Ma

Authors
  1. Satoshi Yoshida
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  2. Qiang Ma
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Corresponding authors

Correspondence to Satoshi Yoshida or Qiang Ma .

Editor information

Editors and Affiliations

  1. Clausthal University of Technology, Clausthal-Zellerfeld, Germany

    Sven Hartmann

  2. Johannes Kepler University of Linz, Linz, Austria

    Josef Küng

  3. Johannes Kepler University of Linz, Linz, Austria

    Gabriele Kotsis

  4. IFS, Vienna University of Technology, Vienna, Wien, Austria

    A Min Tjoa

  5. Johannes Kepler University of Linz, Linz, Austria

    Ismail Khalil

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Yoshida, S., Ma, Q. (2020). Generating Dialogue Sentences to Promote Critical Thinking. In: Hartmann, S., Küng, J., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Database and Expert Systems Applications. DEXA 2020. Lecture Notes in Computer Science(), vol 12391. Springer, Cham. https://doi.org/10.1007/978-3-030-59003-1_23

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  • DOI: https://doi.org/10.1007/978-3-030-59003-1_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59002-4

  • Online ISBN: 978-3-030-59003-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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