JTCSE: Joint tensor-modulus constraints and cross-attention for unsupervised contrastive learning of sentence embeddings.
Unsupervised contrastive learning has attracted significant attention in natural language processing for learning sentence embeddings. Existing methods primarily constrain the orientation distribution of representations in high-dimensional semantic space via cosine-based objectives, yet the embedding vector also posses...