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We describe our experiments for SemEval-2023 Task 4 on the identification ofhuman values behind arguments (ValueEval). Because human values are subjectiveconcepts which require precise definitions, we hypothesize that incorporatingthe definitions of human values (in the form of annotation instructions andvalidated survey items) during model training can yield better predictionperformance. We explore this idea and show that our proposed models performbetter than the challenge organizers' baselines, with improvements in macro F1scores of up to 18%.

Epicurus at SemEval-2023 Task 4: Improving Prediction of Human Values behind Arguments by Leveraging Their Definitions