Lifeless Winter without Break: Ovid’s Exile Works and the LiLa Knowledge Base

Aurora Alagni, Francesco Mambrini, Marco Passarotti


Abstract
In this paper we describe the process of semi-automatic annotation and linking performed to connect two works by the Latin poet Ovid to the LiLa Knowledge Base of interoperable linguistic resources. Written after Ovid’s exile from Rome, the Tristia and the Epistulae ex Ponto mark the beginning of the “literature of exile”. In spite of their importance, no lemmatized version existed and the two collections were not part of the major annotated corpora linked to LiLa. The paper discusses the workflow used to annotate and publish the works as Linked Open Data connected to the LiLa Knowledge Base. On account of their subject and the emotional tone attached to the theme of exile, the two works are particularly relevant for sentiment analysis. We discuss some results of a lexicon-based analysis that is enabled by the interlinking with LiLa. We use LatinAffectus, a manually-generated polarity lexicon for Latin nouns and adjectives, to perform Sentiment Analysis on the aforementioned works and interpret the (replicable) results by consulting and simultaneously enriching the available literary scholarship with new information.
Anthology ID:
2024.clicit-1.2
Volume:
Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)
Month:
December
Year:
2024
Address:
Pisa, Italy
Editors:
Felice Dell'Orletta, Alessandro Lenci, Simonetta Montemagni, Rachele Sprugnoli
Venue:
CLiC-it
SIG:
Publisher:
CEUR Workshop Proceedings
Note:
Pages:
4–12
Language:
URL:
https://aclanthology.org/2024.clicit-1.2/
DOI:
Bibkey:
Cite (ACL):
Aurora Alagni, Francesco Mambrini, and Marco Passarotti. 2024. Lifeless Winter without Break: Ovid’s Exile Works and the LiLa Knowledge Base. In Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024), pages 4–12, Pisa, Italy. CEUR Workshop Proceedings.
Cite (Informal):
Lifeless Winter without Break: Ovid’s Exile Works and the LiLa Knowledge Base (Alagni et al., CLiC-it 2024)
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PDF:
https://aclanthology.org/2024.clicit-1.2.pdf