Enhancing Lightweight Text Matching with Selective Feature Attention

The authors propose Feature Attention (FA) and Selective Feature Attention (SFA) blocks to enrich the modeling of dependencies among embedding features, enabling Siamese networks to focus on the most influential features for improved text matching performance.