@InProceedings{rao-EtAl:2017:BioNLP17,
  author    = {Rao, Sudha  and  Marcu, Daniel  and  Knight, Kevin  and  Daum\'{e} III, Hal},
  title     = {Biomedical Event Extraction using Abstract Meaning Representation},
  booktitle = {BioNLP 2017},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada,},
  publisher = {Association for Computational Linguistics},
  pages     = {126--135},
  abstract  = {We propose a novel, Abstract Meaning Representation (AMR) based approach to
	identifying molecular events/interactions in biomedical text. Our key
	contributions are: (1) an empirical validation of our hypothesis that an event
	is a subgraph of the AMR graph, (2) a neural network-based model that
	identifies such an event subgraph given an AMR, and (3) a distant supervision
	based approach to gather additional training data. We evaluate our approach on
	the 2013 Genia Event Extraction dataset and show promising results.},
  url       = {http://www.aclweb.org/anthology/W17-2315}
}