TaxoMine
Mining taxonomic knowledge from the scientific literature
Continues our work with biologists on extracting information about species from published papers, organised by taxonomy.
Knowledge from scientific literature
Turning scientific papers into structured, searchable knowledge, and making science easier to read.
Science is published faster than anyone can read it. We build tools that find facts in papers, such as genes, diseases or traits of species, and turn them into data that researchers can search and reuse. A long-running collaboration with biologists builds a database of arthropod traits from the literature.
We also work on simplifying and translating scientific text for wider audiences, and on visual ways to explore large collections of publications.
Projects
Brisk.AI
Simplified and translated scientific literature for education
Used AI to produce simplified and translated versions of scientific papers for teaching.
Mini-MUSE
AI-based visualisation methods to explore digitised publications
Built interactive visual tools to explore large collections of digitised historical publications.
PREGAMUS
Reducing the complexity of scientific literature
Used AI to make scientific papers easier to read, as a support against misinformation.
ArthroTraitMine
Mining arthropod traits from the literature
Built text-mining workflows and a database of traits of arthropods (insects, spiders, crustaceans and relatives) collected from the scientific literature.
BERGAMOS
Open, machine-readable annotations of biomedical literature
Connected our entity recognition tool to PubAnnotation, so researchers can automatically annotate collections of biomedical papers.
