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. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1109/WAINA.2012.102 | AINA Workshops |
Keywords | Field | DocType |
future work,detecting events,high precision,matthews correlation coefficient average,narrative essays,grading system,causal links,promising result,important part,event flow,event detection framework,feature extraction,text analysis,matthews correlation coefficient,pattern matching,f measure,narrative,ontologies,inspection | Data mining,Matthews correlation coefficient,Grading (education),Computer science,Artificial intelligence,Natural language processing,Classifier (linguistics),Plot (narrative),Distributed computing,Precision and recall,Feature extraction,Narrative,Pattern matching | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
(Sean) Hon Wai Lam | 1 | 0 | 0.34 |
Tharam S. Dillon | 2 | 2573 | 340.98 |
Elizabeth Chang | 3 | 1017 | 108.04 |
Pornpit Wongthongtham | 4 | 110 | 16.07 |
Wei Lui | 5 | 0 | 0.34 |