Paper: Temporal Signals Help Label Temporal Relations

ACL ID P13-2114
Title Temporal Signals Help Label Temporal Relations
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013

Automatically determining the temporal order of events and times in a text is difficult, though humans can readily perform this task. Some- times events and times are related through use of an explicit co-ordination which gives infor- mation about the temporal relation: expres- sions like ?before? and ?as soon as?. We in- vestigate the ro?le that these co-ordinating tem- poral signals have in determining the type of temporal relations in discourse. Using ma- chine learning, we improve upon prior ap- proaches to the problem, achieving over 80% accuracy at labelling the types of temporal re- lation between events and times that are re- lated by temporal signals.