@InProceedings{ficler-goldberg:2017:EACLshort,
  author    = {Ficler, Jessica  and  Goldberg, Yoav},
  title     = {Improving a Strong Neural Parser with Conjunction-Specific Features},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {343--348},
  abstract  = {While dependency parsers reach very high overall accuracy, some dependency
	relations are much harder than others. 
	In particular, dependency parsers perform poorly in coordination construction
	(i.e., correctly attaching the conj relation).
	We extend a state-of-the-art dependency parser with conjunction-specific
	features, focusing on the similarity between the conjuncts head words. Training
	the extended parser yields an improvement in conj attachment as well as in
	overall dependency parsing accuracy on the Stanford dependency conversion of
	the Penn TreeBank.},
  url       = {http://www.aclweb.org/anthology/E17-2055}
}