Paper: Learning Event Durations From Event Descriptions

ACL ID P06-1050
Title Learning Event Durations From Event Descriptions
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

We have constructed a corpus of news ar- ticles in which events are annotated for estimated bounds on their duration. Here we describe a method for measuring in- ter-annotator agreement for these event duration distributions. We then show that machine learning techniques applied to this data yield coarse-grained event dura- tion information, considerably outper- forming a baseline and approaching hu- man performance.