SciSpaCy

ScispaCy is a spaCy extension optimized for processing biomedical and scientific text, providing domain-specific NLP models for tasks like named entity recognition (NER) and dependency parsing.

Features

Pretrained models for biomedical and scientific text processing
Supports named entity recognition for medical and chemical terms
Provides fast and efficient tokenization for large-scale corpora
Includes abbreviation detection and resolution for scientific papers
Compatible with spaCy pipelines and other NLP tools
Optimized for high-performance processing of scientific documents

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2025-01-22

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