@InProceedings{moosavi-strube:2017:CORBON,
  author    = {Moosavi, Nafise Sadat  and  Strube, Michael},
  title     = {Use Generalized Representations, But Do Not Forget Surface Features},
  booktitle = {Proceedings of the 2nd Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2017)},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {1--7},
  abstract  = {Only a year ago, all state-of-the-art coreference resolvers were using an
	extensive amount of surface features. Recently, there was a paradigm shift
	towards using word embeddings and deep neural networks, where the use of
	surface features is very limited. In this paper, we show that a simple SVM
	model with surface features outperforms more complex neural models for
	detecting anaphoric mentions. Our analysis suggests that using generalized
	representations and surface features have different strength that should be
	both taken into account for improving coreference resolution.},
  url       = {http://www.aclweb.org/anthology/W17-1501}
}