# Semantic Similarity Computation

DiffCSE is a difference-based contrastive learning framework for learning sentence embeddings, which enhances semantic understanding by capturing the differences between original and edited sentences.

BERT-based sentence embedding model optimized through contrastive learning, suitable for feature extraction tasks