# Biomedical Semantic Similarity

BioLORD-2023-C is a sentence transformer model trained based on BioLORD, focusing on generating meaningful representations for biomedical and clinical texts.

BioLORD-2023-M is a multilingual biomedical sentence similarity model that generates semantic representations through definitions and knowledge graphs

This is a sentence-transformers-based model that maps sentences and paragraphs into a 768-dimensional dense vector space, suitable for tasks such as clustering or semantic search.

This is a model based on sentence-transformers that can map sentences and paragraphs into a 768-dimensional dense vector space, suitable for tasks such as sentence similarity calculation and semantic search.