• DocumentCode
    1845376
  • Title

    Detecting Events in Narrative Essays

  • Author

    Hon Wai Lam ; Dillon, T. ; Chang, En-Jui ; Wongthongtham, P. ; Wei Lui

  • Author_Institution
    Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ. of Technol., Perth, WA, Australia
  • fYear
    2012
  • fDate
    26-29 March 2012
  • Firstpage
    363
  • Lastpage
    368
  • Abstract
    A narrative can be described as a series of events connected to one another, which are caused by or experienced by the characters of the story. By this definition, an Event can be interpreted as an important part of the story since it is mostly these kinds of statements that move the plot along. The concept proposed in this paper features an Event Detection framework that would eventually allow a grading system to structure the content of an essay into an event flow. The tests show some promising results, with high Precision and Recall values, and an F-measure of over 0.8 in all tests. In addition, the classifier achieves a Matthews Correlation Coefficient average of 0.52. Future work includes integrating Causal Links into the system to detect the relations between Events.
  • Keywords
    correlation theory; pattern classification; text analysis; F-measure; Matthews correlation coefficient average; causal links; event detection framework; grading system; narrative essays; precision values; recall values; story characters; Event detection; Feature extraction; Humans; Inspection; Joining processes; Ontologies; Pattern matching; Automated Essay Grading; Event Detection; Narrative;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications Workshops (WAINA), 2012 26th International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4673-0867-0
  • Type

    conf

  • DOI
    10.1109/WAINA.2012.102
  • Filename
    6185289