@inproceedings{droganova-etal-2018-mind,
    title = "Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions",
    author = "Droganova, Kira  and
      Ginter, Filip  and
      Kanerva, Jenna  and
      Zeman, Daniel",
    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://preview.aclanthology.org/ingest-emnlp/W18-6006/",
    doi = "10.18653/v1/W18-6006",
    pages = "47--54",
    abstract = "In this paper, we focus on parsing rare and non-trivial constructions, in particular ellipsis. We report on several experiments in enrichment of training data for this specific construction, evaluated on five languages: Czech, English, Finnish, Russian and Slovak. These data enrichment methods draw upon self-training and tri-training, combined with a stratified sampling method mimicking the structural complexity of the original treebank. In addition, using these same methods, we also demonstrate small improvements over the CoNLL-17 parsing shared task winning system for four of the five languages, not only restricted to the elliptical constructions."
}