Paper: Time Period Identification Of Events In Text

ACL ID P06-1145
Title Time Period Identification Of Events In Text
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

This study aims at identifying when an event written in text occurs. In particular, we classify a sentence for an event into four time-slots; morning, daytime, eve- ning, and night. To realize our goal, we focus on expressions associated with time-slot (time-associated words). How- ever, listing up all the time-associated words is impractical, because there are numerous time-associated expressions. We therefore use a semi-supervised learning method, the Naïve Bayes classi- fier backed up with the Expectation Maximization algorithm, in order to it- eratively extract time-associated words while improving the classifier. We also propose to use Support Vector Machines to filter out noisy instances that indicates no specific time period. As a result of ex- periments, the proposed method achiev...