@inproceedings{shvedova-etal-2025-developing,
    title = "Developing a {U}niversal {D}ependencies Treebank for {U}krainian Parliamentary Speech",
    author = "Shvedova, Maria  and
      Lukashevskyi, Arsenii  and
      Rysin, Andriy",
    editor = "Romanyshyn, Mariana",
    booktitle = "Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria (online)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/acl25-workshop-ingestion/2025.unlp-1.7/",
    pages = "55--63",
    ISBN = "979-8-89176-269-5",
    abstract = "This paper presents a new Universal Dependencies (UD) treebank based on Ukrainian parliamentary transcripts, complementing the existing UD resources for Ukrainian. The corpus includes manually annotated texts from key historical sessions of the Verkhovna Rada, capturing not only official rhetoric but also features of colloquial spoken language. The annotation combines UDPipe2 and TagText parsers, with subsequent manual correction to ensure syntactic and morphological accuracy. A detailed comparison of tagsets and the disambiguation strategy employed by TagText is provided. To demonstrate the applicability of the resource, the study examines vocative and nominative case variation in direct address using a large-scale UD-annotated corpus of parliamentary texts."
}