@InProceedings{do-rehbein:2017:IWPT,
  author    = {Do, Bich-Ngoc  and  Rehbein, Ines},
  title     = {Evaluating LSTM models for grammatical function labelling},
  booktitle = {Proceedings of the 15th International Conference on Parsing Technologies},
  month     = {September},
  year      = {2017},
  address   = {Pisa, Italy},
  publisher = {Association for Computational Linguistics},
  pages     = {128--133},
  abstract  = {To improve grammatical function labelling for German, we augment the labelling
	component of a neural dependency parser with a decision history. We present
	different ways to encode the history, using different LSTM architectures, and
	show that our models yield significant improvements, resulting in a LAS for
	German that is close to the best result from the SPMRL 2014 shared task
	(without the reranker).},
  url       = {http://www.aclweb.org/anthology/W17-6318}
}