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

Project Samples

SciSpaCy Screenshot 1

Project Activity

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Categories

Natural Language Processing (NLP)

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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