@InProceedings{akku-azizoglu-cakici:2017:K17-3,
  author    = {Akkuş, Burak Kerim  and  Azizoglu, Heval  and  Cakici, Ruket},
  title     = {Initial Explorations of CCG Supertagging for Universal Dependency Parsing},
  booktitle = {Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {218--227},
  abstract  = {In this paper we describe the system by METU team for universal dependency
	parsing of multilingual text. We use a neural network-based dependency parser
	that has a greedy transition approach to dependency parsing. CCG supertags
	contain rich structural information that proves useful in certain NLP tasks. We
	experiment with CCG supertags as additional features in our experiments. The
	neural network parser is trained together with dependencies and simplified CCG
	tags as well as other features provided.},
  url       = {http://www.aclweb.org/anthology/K17-3023}
}