Before revision:  We evaluated CODER in term normalization, semantic similarity, and relation classification benchmarks, which showed that CODER outperformed various state-of-the-art biomedical word embeddings , concept embeddings, and contextual embeddings. 
After revision:  We evaluated CODER in term normalization, semantic similarity, and relation classification benchmarks, which showed that CODER outperformed various state-of-the-art biomedical word embeddings , concept embeddings, and contextual embeddings. Our codes and models are available at URL