@inproceedings{silberztein-2018-using,
    title = "Using Linguistic Resources to Evaluate the Quality of Annotated Corpora",
    author = "Silberztein, Max",
    editor = "Machonis, Peter  and
      Barreiro, Anabela  and
      Kocijan, Kristina  and
      Silberztein, Max",
    booktitle = "Proceedings of the First Workshop on Linguistic Resources for Natural Language Processing",
    month = aug,
    year = "2018",
    address = "Santa Fe, New Mexico, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/more-markup/W18-3802/",
    pages = "2--11",
    abstract = "Statistical and neural-network-based methods that compute their results by comparing a given text to be analyzed with a reference corpus assume that the reference corpus is complete and reliable enough. In this article, I conduct several experiments on an extract of the Open American National Corpus to verify this assumption."
}