@InProceedings{judea-strube:2016:COLING,
  author    = {Judea, Alex  and  Strube, Michael},
  title     = {Incremental Global Event Extraction},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {2279--2289},
  abstract  = {Event extraction is a difficult information extraction task. Li et al. (2014)
	explore the benefits of modeling event extraction and two related tasks, entity
	mention and relation extraction, jointly. This joint system achieves
	state-of-the-art performance in all tasks.  However, as a system operating only
	at the sentence level, it misses valuable information from other parts of the
	document. In this paper, we present an incremental easy-first approach to make
	the global context of the entire document available to the intra-sentential,
	state-of-the-art event extractor. We show that our method robustly increases
	performance on two datasets, namely ACE 2005 and TAC 2015.},
  url       = {http://aclweb.org/anthology/C16-1215}
}