Papers by Jordan Painter

1 papers
BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English (2025.findings-acl)

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Challenge: despite large language models showing bias against non-mainstream varieties, there are no labeled datasets for sentiment analysis of English.
Approach: They propose a benchmark for sentiment and sarcasm classification for three varieties of English . they manually annotate the datasets with sentiment and the sarcasmatic labels .
Outcome: The proposed benchmark is based on a web-based content from Google Place reviews and Reddit comments.

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