LLM

BiomedParse 1. Model Selection and Architecture BiomedParse is a transformer-based language model specifically designed for parsing biomedical text into structured representations. The key architectural choices are: Using a pre-trained BERT (Bidirectional Encoder Representations from Transformers) model as the backbone, which has shown strong performance on various natural language processing tasks. BERT is a deep bidirectional transformer that learns contextual word representations by jointly conditioning on both left and right context. ...