SciBite CSO and Founder Lee Harland recently featured in KM World Magazine where he discusses how deep learning (DL) has emerged as a compelling approach to address many common use cases, including Named Entity Recognition (NER), which represent a step-change in machine-understanding of human-written text.
Text analytics plays a major role in unlocking the insight within internal repositories in the Life Sciences industry, but many forward thinking CTOs and CIOs are facing three major challenges:
SciBite’s award-winning text-analytics platform is used by the world’s largest science-based businesses to address these issues. SciBite’s ontology-led solutions understand the complexity and variability of scientific content and that ontologies are the de facto standard to encode semantics in an understandable form for both humans and machines.
Check out the full article on the KM World website to learn more.
SciBite CSO and Founder Lee Harland shares his views on the use of BERT (or more specifically BioBERT) for deep learning approaches.Read
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.Read
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