EDS_NLP
A modular NLP framework for extracting information from French clinical notes, compatible with spaCy and PyTorch.
What is EDS_NLP?
EDS-NLP is an open-source natural language processing framework specifically designed for extracting information from French clinical notes. It combines rule-based and deep learning components in a modular pipeline system, enabling efficient text analysis for medical applications. The framework is built on spaCy for document representation and PyTorch for trainable components, offering a flexible solution for clinical NLP tasks.
Data scientists, NLP engineers, and researchers working with French clinical texts, particularly those in healthcare institutions or academic settings focused on medical information extraction.
Developers choose EDS-NLP for its specialized focus on French clinical language, seamless compatibility with spaCy and PyTorch, and support for hybrid rule-based and machine learning approaches. Its modular architecture and multitask capabilities make it uniquely suited for building efficient, customizable NLP pipelines in medical contexts.
Overview
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
Use Cases
Best For
- Extracting medical entities from French clinical notes
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