@inproceedings{alzetta-etal-2018-assessing,
    title = "Assessing the Impact of Incremental Error Detection and Correction. A Case Study on the {I}talian {U}niversal {D}ependency Treebank",
    author = "Alzetta, Chiara  and
      Dell{'}Orletta, Felice  and
      Montemagni, Simonetta  and
      Simi, Maria  and
      Venturi, Giulia",
    editor = "de Marneffe, Marie-Catherine  and
      Lynn, Teresa  and
      Schuster, Sebastian",
    booktitle = "Proceedings of the Second Workshop on Universal Dependencies ({UDW} 2018)",
    month = nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W18-6001",
    doi = "10.18653/v1/W18-6001",
    pages = "1--7",
    abstract = "Detection and correction of errors and inconsistencies in {``}gold treebanks{''} are becoming more and more central topics of corpus annotation. The paper illustrates a new incremental method for enhancing treebanks, with particular emphasis on the extension of error patterns across different textual genres and registers. Impact and role of corrections have been assessed in a dependency parsing experiment carried out with four different parsers, whose results are promising. For both evaluation datasets, the performance of parsers increases, in terms of the standard LAS and UAS measures and of a more focused measure taking into account only relations involved in error patterns, and at the level of individual dependencies.",
}