Neji is a innovative and powerfull framework for faster biomedical concept recognition. It is open source and built around four key characteristics: modularity, scalability, speed, and usability. Neji integrates modules of various state-of-the-art methods for biomedical natural language processing (e.g., sentence splitting, tokenization, lemmatization, part-of-speech tagging, chunking and dependency parsing) and concept recognition (e.g., dictionaries and machine learning). The most popular input and output formats, such as Pubmed XML, IeXML, CoNLL and A1, are also supported.
- Linux/ Windows/MacOsX
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BMC Bioinformatics. 2013 Sep 24;14:281. doi: 10.1186/1471-2105-14-281.
A modular framework for biomedical concept recognition.
Campos D1, Matos S, Oliveira JL.