@InProceedings{kanayama-muraoka-yoshikawa:2017:K17-3,
  author    = {Kanayama, Hiroshi  and  Muraoka, Masayasu  and  Yoshikawa, Katsumasa},
  title     = {A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task},
  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     = {265--273},
  abstract  = {This paper presents our system submitted for the CoNLL 2017 Shared Task,
	``Multilingual Parsing from Raw Text to Universal Dependencies.'' We ran the
	system for all languages with our own fully pipelined components without
	relying on re-trained baseline systems. To train the dependency parser, we used
	only the universal part-of-speech tags and distance between words, and applied
	deterministic rules to assign dependency labels.  The simple and delexicalized
	models are suitable for cross-lingual transfer approaches and a universal
	language model.  Experimental results show that our model performed well in
	some metrics and leads discussion on topics such as contribution of each
	component and on syntactic similarities among languages.},
  url       = {http://www.aclweb.org/anthology/K17-3028}
}