@inproceedings{agic-schluter-2017-train,
    title = "How (not) to train a dependency parser: The curious case of jackknifing part-of-speech taggers",
    author = "Agi{\'c}, {\v{Z}}eljko  and
      Schluter, Natalie",
    editor = "Barzilay, Regina  and
      Kan, Min-Yen",
    booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = jul,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/P17-2107/",
    doi = "10.18653/v1/P17-2107",
    pages = "679--684",
    abstract = "In dependency parsing, jackknifing taggers is indiscriminately used as a simple adaptation strategy. Here, we empirically evaluate when and how (not) to use jackknifing in parsing. On 26 languages, we reveal a preference that conflicts with, and surpasses the ubiquitous ten-folding. We show no clear benefits of tagging the training data in cross-lingual parsing."
}