@InProceedings{vannoord-bos:2017:SemEval,
  author    = {van Noord, Rik  and  Bos, Johan},
  title     = {The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {929--933},
  abstract  = {We evaluate a semantic parser based on a character-based sequence-to-sequence
	model in the context of the SemEval-2017 shared task on semantic parsing for
	AMRs. With data augmentation, super characters, and POS-tagging we gain major
	improvements in performance compared to a baseline character-level model.
	Although we improve on previous character-based neural semantic parsing models,
	the overall accuracy is still lower than a state-of-the-art AMR parser. An
	ensemble combining our neural semantic parser with an existing, traditional
	parser, yields a small gain in performance.},
  url       = {http://www.aclweb.org/anthology/S17-2160}
}