@InProceedings{damonte-cohen-satta:2017:EACLlong,
  author    = {Damonte, Marco  and  Cohen, Shay B.  and  Satta, Giorgio},
  title     = {An Incremental Parser for Abstract Meaning Representation},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {536--546},
  abstract  = {Abstract Meaning Representation (AMR) is a semantic representation for natural
	language that embeds annotations related to traditional tasks such as named
	entity recognition, semantic role labeling, word sense disambiguation and
	co-reference resolution. We describe a transition-based parser for AMR that
	parses sentences left-to-right, in linear time. We further propose a test-suite
	that assesses specific subtasks that are helpful in comparing AMR parsers, and 
	show that our parser is competitive with the state of the art on the LDC2015E86
	dataset and that it outperforms state-of-the-art parsers for recovering named
	entities and handling polarity.},
  url       = {http://www.aclweb.org/anthology/E17-1051}
}