Abstract
In this paper, we discuss our efforts on SemEval-2023 Task 4, a task to classify the human value categories that an argument draws on. Arguments consist of a premise, conclusion, and the premise’s stance on the conclusion. Our team experimented with GloVe embeddings and fine-tuning BERT. We found that an ensembling of BERT and GloVe with RidgeRegression worked the best.
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CITATION STYLE
Hasanaliyev, K., Wu, J., Li, K., Huang, W., Chawla, S., Yang, D., … Bhat, K. (2023). Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in Arguments. In 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop (pp. 2039–2042). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.semeval-1.280
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