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Finding Diachronic Objects of Drifting Descriptions by Similar Mentions

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Knowledge Management and Acquisition for Intelligent Systems (PKAW 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11669))

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Abstract

In this paper, we propose that document sets consist of two types, drift descriptions that record actions on diachronic objects that could be regarded as the same over time and diversity descriptions that record actions on different objects. This research finds diachronic objects to extract a document subset of drift descriptions. We assumed that a diachronic object would be mentioned similarly and have different time-distribution appearances. Consequently, we proposed a method to find words that represent diachronic objects by similar mentions and applied it to three different document sets. The results show that it is possible to extract document objects for drift descriptions.

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Acknowledgment

This work was supported by JSPS KAKENHI Grant Number JP16K00702.

Author information

Authors and Affiliations

  1. Faculty of Human and Social Studies, Saitama Institute of Technology, Fukaya, Japan

    Katsuaki Tanaka

  2. School of Engineering, The University of Tokyo, Tokyo, Japan

    Koichi Hori

Authors
  1. Katsuaki Tanaka
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  2. Koichi Hori
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Corresponding author

Correspondence to Katsuaki Tanaka .

Editor information

Editors and Affiliations

  1. Aoyama Gakuin University, Tokyo, Japan

    Kouzou Ohara

  2. University of Tasmania, Tasmania, Australia

    Quan Bai

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Tanaka, K., Hori, K. (2019). Finding Diachronic Objects of Drifting Descriptions by Similar Mentions. In: Ohara, K., Bai, Q. (eds) Knowledge Management and Acquisition for Intelligent Systems. PKAW 2019. Lecture Notes in Computer Science(), vol 11669. Springer, Cham. https://doi.org/10.1007/978-3-030-30639-7_4

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  • DOI: https://doi.org/10.1007/978-3-030-30639-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30638-0

  • Online ISBN: 978-3-030-30639-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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