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Text Reconstructing System of Editorial Text Based on Reader's Comprehension

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Human Interface and the Management of Information (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14015))

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Abstract

In writing an editorial, an author constructs a logical structure to form an argument. A reader, meanwhile, determines the topics presented in that text and the relationships between them to understand that logical structure and arrive at the argument. However, if the reader cannot correctly read the logical structure, the text that can be reconstructed from the logical structure understood by the reader will differ from the original editorial text. We have developed a system that helps a reader recognize one’s own errors in understanding logical structure by reconstructing the text based on the understood logical structure. In this paper, we provide an overview of the system and discuss the results of an experiment that we performed to evaluate the effectiveness of the system.

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Author information

Authors and Affiliations

  1. Graduate School of Science and Engineering, Kansai University, Suita, Japan

    Yuki Okaniwa

  2. Faculty of Engineering Science, Kansai University, Suita, Japan

    Tomoko Kojiri

Authors
  1. Yuki Okaniwa
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  2. Tomoko Kojiri
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Corresponding author

Correspondence to Tomoko Kojiri .

Editor information

Editors and Affiliations

  1. Tokyo City University, Tokyo, Japan

    Hirohiko Mori

  2. Tokyo University of Science, Tokyo, Japan

    Yumi Asahi

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Okaniwa, Y., Kojiri, T. (2023). Text Reconstructing System of Editorial Text Based on Reader's Comprehension. In: Mori, H., Asahi, Y. (eds) Human Interface and the Management of Information. HCII 2023. Lecture Notes in Computer Science, vol 14015. Springer, Cham. https://doi.org/10.1007/978-3-031-35132-7_8

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  • DOI: https://doi.org/10.1007/978-3-031-35132-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35131-0

  • Online ISBN: 978-3-031-35132-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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