@inproceedings{bjorkelund-etal-2017-ims,
    title = "{IMS} at the {C}o{NLL} 2017 {UD} Shared Task: {CRF}s and Perceptrons Meet Neural Networks",
    author = {Bj{\"o}rkelund, Anders  and
      Falenska, Agnieszka  and
      Yu, Xiang  and
      Kuhn, Jonas},
    editor = "Haji{\v{c}}, Jan  and
      Zeman, Dan",
    booktitle = "Proceedings of the {C}o{NLL} 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/K17-3004/",
    doi = "10.18653/v1/K17-3004",
    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."
}