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Towards a Complete Event Type Taxonomy

Authors:

Blaž FortunaAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 899 - 902

https://doi.org/10.1145/2740908.2742005

Published: 18 May 2015 Publication History

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Abstract

We present initial results of our effort to build an extensive and complete taxonomy of events described in news articles. By crawling Wikipedia's current events portal we identified nine top-level event types. Using articles referenced by the portal we built a event type classification model for news articles using lexical and semantic features and present a small-scale manual evaluation of its results. Results show that our model can accurately distinguish between event types but its coverage could still be significantly improved.

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Cited By

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Sumikawa YMiyazaki T(2020)Multilabel graph-based classification for missing labelsInternational Journal on Digital Libraries10.1007/s00799-020-00295-3Online publication date: 12-Oct-2020
https://doi.org/10.1007/s00799-020-00295-3
Sumikawa YIkejiri R(2020)Feature selection for classifying multi-labeled past eventsInternational Journal on Digital Libraries10.1007/s00799-020-00293-5Online publication date: 8-Sep-2020
https://doi.org/10.1007/s00799-020-00293-5
Sumikawa YJatowt AChen JGonçalves MAllen JFox EKan MPetras V(2018)System for Category-driven Retrieval of Historical EventsProceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries10.1145/3197026.3203888(413-414)Online publication date: 23-May-2018
https://dl.acm.org/doi/10.1145/3197026.3203888
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Index Terms

Towards a Complete Event Type Taxonomy
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources

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Information

Published In

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2015

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European Union

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WWW '15

Sponsor:

IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

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Sumikawa YMiyazaki T(2020)Multilabel graph-based classification for missing labelsInternational Journal on Digital Libraries10.1007/s00799-020-00295-3Online publication date: 12-Oct-2020
https://doi.org/10.1007/s00799-020-00295-3
Sumikawa YIkejiri R(2020)Feature selection for classifying multi-labeled past eventsInternational Journal on Digital Libraries10.1007/s00799-020-00293-5Online publication date: 8-Sep-2020
https://doi.org/10.1007/s00799-020-00293-5
Sumikawa YJatowt AChen JGonçalves MAllen JFox EKan MPetras V(2018)System for Category-driven Retrieval of Historical EventsProceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries10.1145/3197026.3203888(413-414)Online publication date: 23-May-2018
https://dl.acm.org/doi/10.1145/3197026.3203888
Sumikawa YJatowt A(2018)Classifying Short Descriptions of Past EventsAdvances in Information Retrieval10.1007/978-3-319-76941-7_69(729-736)Online publication date: 1-Mar-2018
https://doi.org/10.1007/978-3-319-76941-7_69

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