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Automatic Extraction of Event Information from Newspaper Articles and Web Pages

  • Hidetsugu Nanba
  • Ryuta Saito
  • Aya Ishino
  • Toshiyuki Takezawa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8279)

Abstract

In this paper, we propose a method for extracting travel-related event information, such as an event name or a schedule from automatically identified newspaper articles, in which particular events are mentioned. We analyze news corpora using our method, extracting venue names from them. We then find web pages that refer to event schedules for these venues. To confirm the effectiveness of our method, we conducted several experiments. From the experimental results, we obtained a precision of 91.5% and a recall of 75.9% for the automatic extraction of event information from news articles, and a precision of 90.8% and a recall of 52.8% for the automatic identification of event-related web pages.

Keywords

newspaper article web page event travel 

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References

  1. 1.
    Issertial, L., Tsuji, H.: Information Extraction and Ontology Model for a ‘Call for Paper’ Manager. In: Proceedings of iiWAS 2011, pp. 539–542 (2011)Google Scholar
  2. 2.
    Schneider, K.-M.: An Evaluation of Layout Features for Information Extraction from Calls for Papers. In: LWA 2005, pp. 111–115 (2005)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Hidetsugu Nanba
    • 1
  • Ryuta Saito
    • 1
  • Aya Ishino
    • 1
  • Toshiyuki Takezawa
    • 1
  1. 1.Graduate School of Information SciencesHiroshima City UniversityHiroshimaJapan

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