@InProceedings{wei-EtAl:2017:Short,
  author    = {Wei, Sam  and  Korostil, Igor  and  Nothman, Joel  and  Hachey, Ben},
  title     = {English Event Detection With Translated Language Features},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {293--298},
  abstract  = {We propose novel radical features from automatic translation for event
	extraction.
	Event detection is a complex language processing task for which it is expensive
	to collect training data, making generalisation challenging. 
	We derive meaningful subword features from automatic translations into target
	language.
	Results suggest this method is particularly useful when using languages with
	writing systems that facilitate easy decomposition into subword features, e.g.,
	logograms and Cangjie.
	The best result combines logogram features from Chinese and Japanese with
	syllable features from Korean, providing an additional 3.0 points f-score when
	added to state-of-the-art generalisation features on the TAC KBP 2015 Event
	Nugget task.},
  url       = {http://aclweb.org/anthology/P17-2046}
}