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NaCTeM Software Tools

The National Centre for Text Mining bases its service systems on a number of text mining software tools.

• Part-of-speech (POS) taggers
• A part-of-speech tagger for English
• GENIA Tagger — Part-of-speech tagging for biomedical text (Web Service )
• Parsers
• Enju — A deep syntactic parser for English
• CFG Parser — A fast CFG parser for English
• GENIA Tagger — Shallow parsing for biomedical text. (Web Service )
• Named entitities/terms
• AnatomyTagger — an open-source entity mention tagger for anatomical entities
• Named-entity Recognizer — Part of the GENIA Tagger
• NEMine — Recognizes gene/protein names in text.
• Yeast MetaboliNER — Recognizes yeast metabolite names in text.
• ACELA — Tool for efficient annotation of named entitites
• Smart dictionary lookup — machine learning-based gene/protein name lookup
• Smart Dictionary Lookup Tool Web Service — Looks up term variations of a given gene/protein name based on an automatically trained similarity measure
• DECA — A species disambiguation system for biological named entities
• Other tools
• APLenty — An annotation tool for creating high-quality sequence labelling datasets using active and proactive learning
• RobotAnalyst — A tool to minimise the human workload involved in the study identification phase of systematic reviews.
• EventMine — A machine learning-based event extraction system.
• brat — A free, open-source, web-based tool for text annotation visualisation and editing.