README.md

metadata

title: Clinical NER Pipeline Comparison
emoji: 🧠
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860
pinned: false
license: gpl-3.0
short_description: Comparison of strategies for NER.

Clinical NER Pipeline Comparison

This demo compares three approaches to clinical entity recognition:

1. Fine-tuned clinical BERT (NER)
2. Vanilla BERT embeddings + similarity
3. Static Word2Vec embeddings + similarity

The goal is to demonstrate why fine-tuning and context matter.

How to use

• Select a predefined sentence or type your own
• Adjust prototype words if desired
• Click Execute
• Compare the outputs of the three pipelines

Notes

• Word2Vec is large and may take time to load on first run
• This is a didactic comparison, not a production NER system