@InProceedings{spiliopoulou-hovy-mitamura:2017:EventStory,
  author    = {Spiliopoulou, Evangelia  and  Hovy, Eduard  and  Mitamura, Teruko},
  title     = {Event Detection Using Frame-Semantic Parser},
  booktitle = {Proceedings of the Events and Stories in the News Workshop},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {15--20},
  abstract  = {Recent methods for Event Detection focus on Deep Learning for automatic feature
	generation and feature ranking. However, most of those approaches fail to
	exploit rich semantic information, which results in relatively poor recall.
	This paper is a small \& focused contribution, where we introduce an Event
	Detection and classification system, based on deep semantic information
	retrieved from a frame-semantic parser. Our experiments show that our system
	achieves higher recall than state-of-the-art systems. Further, we claim that
	enhancing our system with deep learning techniques like feature ranking can
	achieve even better results, as it can benefit from both approaches.},
  url       = {http://www.aclweb.org/anthology/W17-2703}
}