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David Campos edited this page Oct 13, 2016
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Neji is a flexible, easy and powerful framework for faster biomedical information extraction.
It allows you to
- Read documents
- Process
- Concept tree
- Store
- CLI
- SDK
- GDep optimised for the biomedical domain
- Gene/protein NER model trained on GENETAG
- Chemical NER model trained on BCV
Attribution, share alike and non-commercial use (CC BY-NC-SA 3.0).
- Concept recognition:
- Dictionary-based
- Machine learning-based
- Rule-based
- Train machine learning models for NER (Named Entity Recognition)
- Linguistic parsing:
- Sentence splitting
- Tokenisation
- Lemmatisation
- Chunking
- Dependency parsing