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
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;
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2012 26th International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4673-0867-0
DOI :
10.1109/WAINA.2012.102