TExpress Datasheet

TExpress is an application of our ultra-fast named entity recognition (NER) engine, TERMite, to search for patterns of entities and verbs in text.

Providing the flexibility to incorporate your own patterns, TExpress highlights potential relationships in unstructured text such as genes causing a disease, or phenotypes associated with pathways.

To read more, download the full product datasheet.

Are Ontologies relevant in a Machine Learning-centric world?

SciBite CSO and Founder Lee Harland shares his views on why ontologies are relevant in a machine learning-centric world and are essential to help "clean up" scientific data in the Life Sciences industry.
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Fuzzy matching now in TERMite

In the latest release of TERMite, we now include a fuzzy matching feature to help identify incorrectly spelt concepts in text.
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Are Ontologies relevant in a Machine Learning-centric world?

Fuzzy matching now in TERMite

How could the SciBite semantic platform help you?