TartuNLP at EvaLatin 2024: Emotion Polarity Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AR3DHPYZ7" target="_blank" >RIV/00216208:11320/25:R3DHPYZ7 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195215040&partnerID=40&md5=46f182bb375e107544832a0ac0a2b338" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195215040&partnerID=40&md5=46f182bb375e107544832a0ac0a2b338</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
TartuNLP at EvaLatin 2024: Emotion Polarity Detection
Original language description
This paper presents the TartuNLP team submission to EvaLatin 2024 shared task of the emotion polarity detection for historical Latin texts. Our system relies on two distinct approaches to annotating training data for supervised learning: 1) creating heuristics-based labels by adopting the polarity lexicon provided by the organizers and 2) generating labels with GPT4. We employed parameter efficient fine-tuning using the adapters framework and experimented with both monolingual and cross-lingual knowledge transfer for training language and task adapters. Our submission with the LLM-generated labels achieved the overall first place in the emotion polarity detection task. Our results show that LLM-based annotations show promising results on texts in Latin. © 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
6
Pages from-to
223-228
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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