Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in Arguments

Kenan Hasanaliyev, Kevin Li, Saanvi Chawla, Michael Nath, Rohan Sanda, Justin Wu, William Huang, Daniel Yang, Shane Mion, Kiran Bhat


Abstract
In this paper, we discuss our efforts on SemEval-2023 Task4, a task to classify the human value categoriesthat 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.
Anthology ID:
2023.semeval-1.280
Volume:
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Atul Kr. Ojha, A. Seza Doğruöz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
2039–2042
Language:
URL:
https://aclanthology.org/2023.semeval-1.280
DOI:
10.18653/v1/2023.semeval-1.280
Bibkey:
Cite (ACL):
Kenan Hasanaliyev, Kevin Li, Saanvi Chawla, Michael Nath, Rohan Sanda, Justin Wu, William Huang, Daniel Yang, Shane Mion, and Kiran Bhat. 2023. Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in Arguments. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 2039–2042, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in Arguments (Hasanaliyev et al., SemEval 2023)
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PDF:
https://aclanthology.org/2023.semeval-1.280.pdf