Nostra Domina at EvaLatin 2024: Improving Latin Polarity Detection through Data Augmentation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AGQ8FT4KA" target="_blank" >RIV/00216208:11320/25:GQ8FT4KA - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195205724&partnerID=40&md5=bc16136cb13a2241bf1ac80d5041051b" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195205724&partnerID=40&md5=bc16136cb13a2241bf1ac80d5041051b</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Nostra Domina at EvaLatin 2024: Improving Latin Polarity Detection through Data Augmentation
Original language description
This paper describes submissions from the team Nostra Domina to the EvaLatin 2024 shared task of emotion polarity detection. Given the low-resource environment of Latin and the complexity of sentiment in rhetorical genres like poetry, we augmented the available data through automatic polarity annotation. We present two methods for doing so on the basis of the k-means algorithm, and we employ a variety of Latin large language models (LLMs) in a neural architecture to better capture the underlying contextual sentiment representations. Our best approach achieved the second highest macro-averaged Macro-F1 score on the shared task’s test set. © 2024 ELRA Language Resources Association: CC BY-NC 4.0.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Workshop Lang. Technol. Hist. Anc. Lang., LT4HALA LREC-COLING - Workshop Proc.
ISBN
978-249381446-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
215-222
Publisher name
European Language Resources Association (ELRA)
Place of publication
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Event location
Torino, Italia
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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