Abstract
Event detection and recognition is a complex task consisting of multiple sub-tasks of varying difficulty. In this paper, we present a simple, modular approach to event extraction that allows us to experiment with a variety of machine learning methods for these sub-tasks, as well as to evaluate the impact on performance these sub-tasks have on the overall task.
Cite
CITATION STYLE
APA
Ahn, D. (2006). The stages of event extraction. In COLING ACL 2006 - ARTE Annotating and Reasoning about Time and Events, Proceedings of the Workshop (pp. 1–8). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1629235.1629236
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