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BibTeX

@InProceedings{bjorkelund-EtAl:2017:K17-3,
  author = {Bj{o}rkelund, Anders  and  Falenska, Agnieszka  and  Yu, Xiang  and  Kuhn, Jonas},
  title     = {IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks},
  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     = {40-51},
  abstract  = {This paper presents the IMS contribution to the CoNLL 2017 Shared Task. In the
	preprocessing step we employed a CRF POS/morphological tagger and a neural
	tagger predicting supertags. On some languages, we also applied word
	segmentation with the CRF tagger and sentence segmentation with a
	perceptron-based parser. For parsing we took an ensemble approach by blending
	multiple instances of three parsers with very different architectures. Our
	system achieved the third place overall and the second place for the surprise
	languages.},
  url       = {https://www.aclweb.org/anthology/K17-3004}
}