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

Pavan Kandru, Bhavyajeet Singh, Ankita Maity, Kancharla Aditya Hari, Vasudeva Varma


Abstract
Identifying human values behind arguments isa complex task which requires understandingof premise, stance and conclusion together. Wepropose a method that uses a pre-trained lan-guage model, DeBERTa, to tokenize and con-catenate the text before feeding it into a fullyconnected neural network. We also show thatleveraging the hierarchy in values improves theperformance by .14 F1 score.
Anthology ID:
2023.semeval-1.284
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:
2062–2066
Language:
URL:
https://aclanthology.org/2023.semeval-1.284
DOI:
10.18653/v1/2023.semeval-1.284
Bibkey:
Cite (ACL):
Pavan Kandru, Bhavyajeet Singh, Ankita Maity, Kancharla Aditya Hari, and Vasudeva Varma. 2023. Tenzin-Gyatso at SemEval-2023 Task 4: Identifying Human Values behind Arguments Using DeBERTa. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 2062–2066, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
Tenzin-Gyatso at SemEval-2023 Task 4: Identifying Human Values behind Arguments Using DeBERTa (Kandru et al., SemEval 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.semeval-1.284.pdf