How GATE supports Bio-medical research
GATE is a widely used, established open source natural language processing (NLP) infrastructure, that provides a framework and numerous essential components (plugins) for clinical NLP.
GATE components
Components include:
Pre-processing tools (eg tokenisation, spelling correction)
Language processing tools (eg part of speech tagging)
Domain and task-specific NLP tools, including
biomedical named entity recognition
pharmacotherapy annotations such as dosage and drug names
UMLS/MeSH entity linking
biomedical acronym recognition
gene tagging
NLP development tools, including
machine learning algorithms
a linguistic pattern-matching, rule engine
performance evaluation tools
GATE solutions
Beyond making NLP tools openly available, GATE also provides:
GATE Developer – graphical interface for developing and testing new NLP tools and applications.
GATE Cloud – cloud-based NLP platform-as-a-service, for seamless service-based deployment of GATE NLP tools and applications.
GATE Mimir – highly scalable semantic indexing and search platform.
GATE Teamware – collaborative, web-based document annotation tool.
Using these NLP tools and services, even users without coding experience can easily use, adapt, or build an NLP system to analyse clinical text.
Thanks to its open source nature, GATE users also benefit from tools and applications that are provided by third-party GATE users and shared via public repositories.
The GATE team
The GATE development team dedicates significant resources to supporting and growing the GATE user community through regular and bespoke training courses, open access training materials, documentation, and an open user mailing list.
The GATE team also offers consulting services to help the development of new NLP applications in the clinical and healthcare sectors. Successful ongoing collaborations include (amongst others)
Kings College Hospital
South London and Maudsley NHS Trust
Swansea University
The NIHR Innovation Observatory