An Interpretable Hybrid Ensemble Model for Paraphrase Detection With SHAP-Based Explanations
Paraphrase detection is a fundamental task in natural language processing, typically addressed using high-performing deep neural models that lack interpretability. Although transformer-based and hybrid systems attain high precision, their decision-making procedures are still opaque, which limits their dependability in...