Prompts, datasets, and scripts for evaluating frontier LLMs as biomedical text-mining annotators, including instruction retrieval, two-step inference, and synthetic-data distillation.
-
Updated
Jun 23, 2026 - Python
Prompts, datasets, and scripts for evaluating frontier LLMs as biomedical text-mining annotators, including instruction retrieval, two-step inference, and synthetic-data distillation.
Graph Neural Network for Chemical-Disease Relation Prediction on BC5CDR dataset. Inductive learning using GraphSAGE.
Analysis of Reddit posts from r/Anxiety to explore symptoms, co-mentioned conditions, and emotional narratives using NLP methods. Modular Colab notebooks provided for reproducible research.
NER system for extracting chemical and disease entities from clinical texts. Compares BioBERT, DeBERTa, and BiLSTM-CRF models on BC5CDR corpus with detailed performance analysis.
Add a description, image, and links to the bc5cdr topic page so that developers can more easily learn about it.
To associate your repository with the bc5cdr topic, visit your repo's landing page and select "manage topics."