Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection

Omid Ghahroodi, Mohammad Ali Sadraei Javaheri, Doratossadat Dastgheib, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban, Hamid Rabiee, Ehsaneddin Asgari

Abstract
The human values expressed in argumentative texts can provide valuable insights into the culture of a society. They can be helpful in various applications such as value-based profiling and ethical analysis. However, one of the first steps in achieving this goal is to detect the category of human value from an argument accurately. This task is challenging due to the lack of data and the need for philosophical inference. It also can be challenging for humans to classify arguments according to their underlying human values. This paper elaborates on our model for the SemEval 2023 Task 4 on human value detection. We propose a class-token attention-based model and evaluate it against baseline models, including finetuned BERT language model and a keyword-based approach.
Anthology ID:
2023.semeval-1.299
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:
2164–2167
Language:
URL:
https://preview.aclanthology.org/icon-24-ingestion/2023.semeval-1.299/
DOI:
10.18653/v1/2023.semeval-1.299
Bibkey:
Cite (ACL):
Omid Ghahroodi, Mohammad Ali Sadraei Javaheri, Doratossadat Dastgheib, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban, Hamid Rabiee, and Ehsaneddin Asgari. 2023. Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 2164–2167, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection (Ghahroodi et al., SemEval 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/icon-24-ingestion/2023.semeval-1.299.pdf
PDF Search Fix data