@inproceedings{novak-etal-2017-projection,
    title = "Projection-based Coreference Resolution Using Deep Syntax",
    author = "Nov{\'a}k, Michal  and
      Nedoluzhko, Anna  and
      {\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k",
    editor = "Ogrodniczuk, Maciej  and
      Ng, Vincent",
    booktitle = "Proceedings of the 2nd Workshop on Coreference Resolution Beyond {O}nto{N}otes ({CORBON} 2017)",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W17-1508/",
    doi = "10.18653/v1/W17-1508",
    pages = "56--64",
    abstract = "The paper describes the system for coreference resolution in German and Russian, trained exclusively on coreference relations project ed through a parallel corpus from English. The resolver operates on the level of deep syntax and makes use of multiple specialized models. It achieves 32 and 22 points in terms of CoNLL score for Russian and German, respectively. Analysis of the evaluation results show that the resolver for Russian is able to preserve 66{\%} of the English resolver`s quality in terms of CoNLL score. The system was submitted to the Closed track of the CORBON 2017 Shared task."
}