SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection
Hamed Hematian Hemati, Sayed Hesam Alavian, Hossein Sameti, Hamid Beigy
Abstract
When we interact with other humans, humanvalues guide us to consider the human element. As we shall see, value analysis in NLP hasbeen applied to personality profiling but not toargument mining. As part of SemEval-2023Shared Task 4, our system paper describes amulti-label classifier for identifying human val-ues. Human value detection requires multi-label classification since each argument maycontain multiple values. In this paper, we pro-pose an architecture called Label Graph Trans-former (LG-Transformer). LG-Transformeris a two-stage pipeline consisting of a trans-former jointly encoding argument and labelsand a graph module encoding and obtainingfurther interactions between labels. Using ad-versarial training, we can boost performanceeven further. Our best method scored 50.00 us-ing F1 score on the test set, which is 7.8 higherthan the best baseline method. Our code ispublicly available on Github.- Anthology ID:
- 2023.semeval-1.46
- 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:
- 340–346
- Language:
- URL:
- https://aclanthology.org/2023.semeval-1.46
- DOI:
- 10.18653/v1/2023.semeval-1.46
- Cite (ACL):
- Hamed Hematian Hemati, Sayed Hesam Alavian, Hossein Sameti, and Hamid Beigy. 2023. SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 340–346, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection (Hematian Hemati et al., SemEval 2023)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2023.semeval-1.46.pdf