Nostra Domina at EvaLatin 2024: Improving Latin Polarity Detection through Data Augmentation

arXiv:2404.07792v1 Announce Type: cross
Abstract: 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 …

abstract arxiv augmentation complexity cs.cl cs.lg data detection emotion environment improving low paper poetry sentiment team through type