@inproceedings{corbetta-etal-2024-rise,
    title = "The Rise and Fall of Dependency Parsing in Dante Alighieri{'}s Divine Comedy",
    author = "Corbetta, Claudia  and
      Passarotti, Marco  and
      Moretti, Giovanni",
    editor = "Sprugnoli, Rachele  and
      Passarotti, Marco",
    booktitle = "Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://preview.aclanthology.org/ingest-emnlp/2024.lt4hala-1.7/",
    pages = "50--56",
    abstract = "In this paper, we conduct parsing experiments on Dante Alighieri{'}s Divine Comedy, an Old Italian poem composed between 1306-1321 and organized into three Cantiche {---}Inferno, Purgatorio, and Paradiso. We perform parsing on subsets of the poem using both a Modern Italian training set and sections of the Divine Comedy itself to evaluate under which scenarios parsers achieve higher scores. We find that employing in-domain training data supports better results, leading to an increase of approximately +17{\%} in Unlabeled Attachment Score (UAS) and +25-30{\%} in Labeled Attachment Score (LAS). Subsequently, we provide brief commentary on the differences in scores achieved among subsections of Cantiche, and we conduct experimental parsing on a text from the same period and style as the Divine Comedy."
}