@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://aclanthology.org/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.",
}
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%0 Conference Proceedings
%T The Rise and Fall of Dependency Parsing in Dante Alighieri’s Divine Comedy
%A Corbetta, Claudia
%A Passarotti, Marco
%A Moretti, Giovanni
%Y Sprugnoli, Rachele
%Y Passarotti, Marco
%S Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F corbetta-etal-2024-rise
%X 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.
%U https://aclanthology.org/2024.lt4hala-1.7
%P 50-56
Markdown (Informal)
[The Rise and Fall of Dependency Parsing in Dante Alighieri’s Divine Comedy](https://aclanthology.org/2024.lt4hala-1.7) (Corbetta et al., LT4HALA-WS 2024)
ACL