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The subtle human values we acquire through life experiences govern ourthoughts and gets reflected in our speech. It plays an integral part incapturing the essence of our individuality and making it imperative to identifysuch values in computational systems that mimic human actions. Computationalargumentation is a field that deals with the argumentation capabilities ofhumans and can benefit from identifying such values. Motivated by that, wepresent an ensemble approach for detecting human values from argument text. Ourensemble comprises three models: (i) An entailment-based model for determiningthe human values based on their descriptions, (ii) A Roberta-based classifierthat predicts the set of human values from an argument. (iii) A Roberta-basedclassifier to predict a reduced set of human values from an argument. Weexperiment with different ways of combining the models and report our results.Furthermore, our best combination achieves an overall F1 score of 0.48 on themain test set.

Rudolf Christoph Eucken at SemEval-2023 Task 4: An Ensemble Approach for Identifying Human Values from Arguments