TartuNLP at EvaLatin 2024: Emotion Polarity Detection

arXiv:2405.01159v1 Announce Type: new
Abstract: 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 …

abstract arxiv cs.cl data detection emotion heuristics labels paper supervised learning team training training data type