Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning

Daniel Saggau, Mina Rezaei, Bernd Bischl +1

Learning quality document embeddings is a fundamental problem in natural language processing (NLP), information retrieval (IR), recommendation systems, and search engines. Despite…