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Neji is a flexible and powerful platform for biomedical information extraction from scientific texts, such as patents, publications and electronic health records.

• What is new in Neji 2?
• What you can do with Neji?
• Quick start
• Documentation
• Usage notification
• Support and consulting
• Bugs and features requests
• Creators and contributors
• Copyright and license

• Neji Web Server
  • Management of annotation services and respective dictionaries and machine-learning models
  • Web page with interactive annotation for each service
  • REST API for each service
• Gimli for machine learning NER training
  • Gimli is now easier to use with faster training and processing times. Its functionalities are now integrated into Neji, providing the same high accuracy previously achieved
• Multiple linguistic parsers support, for general text and multi-language
• Support to additional input and output formats, including BioC
• SDK usability improvements
• Performance improvements
• Stability improvements

With Neji you can build text mining processing pipelines for:

• Rapidly create REST services and interactive web pages for text mining tasks
• Concept recognition:
  • Dictionary-based, Machine learning-based and Rule-based
• Train machine learning models for NER (Named Entity Recognition):
  • Normalization with dictionary matching and Stopword filtering
• Linguistic parsing:
  • Sentence splitting, Tokenisation, Lemmatisation, Chunking and Dependency parsing
• Convert between corpora formats:
  • Input formats: BioC, XML, HTML and Text
  • Output formats: JSON, A1, BC2, Base64, BioC, CoNLL, IeXML, Pipe and PipeExtended

1. Download and extract the latest version of Neji
2. Use neji.sh to annotate
3. Use nejiTrain.sh to train new NER models

Neji's documentation is available at https://github.com/BMDSoftware/neji/wiki.

If you are using Neji in your projects, please let us know by sending an e-mail to [email protected] or [email protected].

Have a bug or a feature request?

If your problem or idea is not addressed yet, please open a new issue.

Please contact BMD Software for professional support and consulting services.

Copyright (C) 2016 BMD Software and University of Aveiro

Neji is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/.