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Classifying Short Descriptions of Past Events

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Advances in Information Retrieval (ECIR 2018)

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Abstract

Mentions and brief descriptions of events often appear in a variety of document genres such as news articles containing references to related events, historical accounts or biographies. While event categorization has been previously studied, it was usually done on entire news articles or longer event descriptions. In this work we focus on short descriptions of historical events which are typically in the form of one or a few sentences. We categorize them into 9 general event categories using a range of diverse features and report F-measure close to 80%.

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Notes

  1. 1.

    https://en.wikipedia.org/wiki/Portal:Current_events.

  2. 2.

    Usually, only very popular or important events have own names.

  3. 3.

    See Table 1 for examples of events in each class.

  4. 4.

    https://verbs.colorado.edu/~mpalmer/projects/verbnet.html.

  5. 5.

    This value was empirically chosen based on analyzing the results on the small held-out development dataset.

  6. 6.

    http://scikit-learn.org/stable/index.html.

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Acknowledgments

This work was supported in part by MEXT Grant-in-Aids (#17H 01828 and #17K12792) and MIC SCOPE (#171507010).

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Authors and Affiliations

  1. Department of Information Sciences, Tokyo University of Science, Tokyo, Japan

    Yasunobu Sumikawa

  2. Department of Social Informatics, Kyoto University, Kyoto, Japan

    Adam Jatowt

Authors
  1. Yasunobu Sumikawa
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  2. Adam Jatowt
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Corresponding author

Correspondence to Yasunobu Sumikawa .

Editor information

Editors and Affiliations

  1. Department of Informatics, Systems, and Communication, University of Milano-Bicocca, Milan, Italy

    Gabriella Pasi

  2. LIP6 – UPMC/CNRS, University Pierre et Marie Curie, Paris, France

    Benjamin Piwowarski

  3. University of Glasgow, Glasgow, United Kingdom

    Leif Azzopardi

  4. Technical University of Vienna, Vienna, Austria

    Allan Hanbury

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Sumikawa, Y., Jatowt, A. (2018). Classifying Short Descriptions of Past Events. In: Pasi, G., Piwowarski, B., Azzopardi, L., Hanbury, A. (eds) Advances in Information Retrieval. ECIR 2018. Lecture Notes in Computer Science(), vol 10772. Springer, Cham. https://doi.org/10.1007/978-3-319-76941-7_69

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  • DOI: https://doi.org/10.1007/978-3-319-76941-7_69

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76940-0

  • Online ISBN: 978-3-319-76941-7

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