Tutorials

Spacy representations

Learn the basics of how documents are represented with spaCy.

Matching a terminology

Extract phrases that belong to a given terminology.

Qualifying entities

Ensure extracted concepts are not invalidated by linguistic modulation.

Detecting dates

Detect and parse dates in a text.

Processing multiple texts

Improve the inference speed of your pipeline

Detecting hospitalisation reason

Identify spans mentioning the reason for hospitalisation or tag entities as the reason.

↵ Detecting false endlines

Classify each line end and add the excluded attribute to these tokens.

Aggregating results

Aggregate the results of your pipeline at the document level.

FastAPI

Deploy your pipeline as an API.

Visualization

Quickly visualize the results of your pipeline as annotations or tables.

Deep learning tutorial

Learn how EDS-NLP handles training deep-neural networks.

Training API

Learn how to quicky train a deep-learning model with edsnlp.train.