SapBERT:

Self-Alignment Pretraining for Biomedical Entity Representations

1. To understand list

• Entity linking
• medical entity linking
• metric
• self-align

2. Abstract

• SapBERT is a pretraining model that self-aligns the representation space of biomedical entites
• Solves problem that accurately capturing fine-grained semantic relationships in the biomedical domain remains a challenge.
• Solves problem by design a scalable metric learning framework that can leverage UMLS
• Achieve a new SOTA on six MEL benchmarking datasets.

CoRTEx:

contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs

1. To understand list

• Biomedical Knowledge Graphs

2. Abstract

• CoRTEx is a model using the world knowledge from LLM and propose Contrastive Learning fro Representing Terms via Explanations
• Solves problem that previous contrastive learning models trained with UMLS synonyms struggle at clustering difficult terms and don't generalize well beyond UMLS terms
• Solves problem by using the world knowledge of LLM