Tenzin-Gyatso at SemEval-2023 Task 4: Identifying Human Values behind Arguments using DeBERTa

Abstract

Identifying human values behind arguments is a complex task which requires understanding of premise, stance and conclusion together. We propose a method that uses a pre-trained language model, DeBERTa, to tokenize and concatenate the text before feeding it into a fully connected neural network. We also show that leveraging the hierarchy in values improves the performance by .14 F1 score compared to only using level 2 values. Our code is made publicly available here.