2024
EACL
EACL 2024
RACAI at ClimateActivism 2024: Improving Detection of Hate Speech by Extending LLM Predictions with Handcrafted Features
Abstract
AbstractThis paper describes the system that participated in the Climate Activism Stance and Hate Event Detection shared task organized at The 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024). The system tackles the important task of hate speech detection by combining large language model predictions with manually designed features, while trying to explain where the LLM approach fails to predict the correct results.
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Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing
Authors
Topics
Natural Language Processing > Applications > Text Classification
Natural Language Processing > Resources & Methods > Large Language Models
Machine Learning > Core Methods > Feature Learning
Natural Language Processing > Applications > Sentiment Analysis
Artificial Intelligence > Core AI > Large Language Models