Articles tagged: NLP (Natural Language Processing)

  1. A helping hand from BERT for Deep Learning approaches

    SciBite CSO and Founder Lee Harland shares his views on the use of BERT (or more specifically BioBERT) for deep learning approaches.

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  2. The benefits of Semantically Enriching document mining for Chemists

    In this blog post, learn more about how our partner ChemAxon have integrated SciBite’s ultrafast named entity recognition (NER) and extraction engine solution, TERMite, into their leading cheminformatics platform, and how this can benefit your organisations informatics architecture.

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  3. SciBite releases new version of ultra-fast term identification, tagging & extraction engine – TERMite 6.3

    Cambridge, UK - SciBite, the award-winning semantic software company, today announced the release of a new version of their industry leading, ultra-fast named entity recognition (NER) and extraction engine, TERMite 6.3, which delivers a range of new enhancements, including simplified connectivity to third party systems.

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  4. SciBite & RDF (Resource Description Framework) – A natural semantic fit

    In this article, we’ll explore how SciBite’s platform works with the semantic web and its primary data representation format, RDF, along with the benefits each technology brings.

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  5. Climbing Mt Peer Review: May AI help you with that?

    At every stage of a researcher’s career, literary reviews are an integral part of scientific investigation. They help to ensure researchers are aware of the current landscape, latest findings and newest technologies in their field.

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  6. SciBite technology transforms Data Mining & Horizon Scanning

    With 6,800 new scientific publications released every day (one every 12 seconds) data mining and horizon scanning is becoming increasingly difficult for medical researchers, which can lead to delayed discoveries in the life science space.

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  7. Named Entity “Un-Recognition”

    How do you automate redaction of personal and sensitive data?

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  8. Drug Repurposing, Rare Diseases and Semantic Analytics

    In this blog we cover how to look potentially reduce the cost of and speed up the repurposing pipeline.

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  9. Taking Semantic Search to Full Text

    Guest post from CCC, leader in creating global licensing and full content solutions, on the advantage of full text for semantic search.

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  10. TERMite 6.1 release

    Announcing the latest release of SciBite's semantic engine, TERMite 6.1.

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  11. SciBite and PerkinElmer Provide Advanced Analytics from Unstructured Scientific Data

    PerkinElmer, Inc., today announced sophisticated scientific semantic enhancements to the PerkinElmer Signals™ Perspectives platform, powered by SciBite® and Attivio.®

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  12. 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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  13. TERMite v5.9 now available

    Announcing the latest version of our flagship text analytics software for life sciences, TERMite 5.9.

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  14. Semantically-Powered Social Collaboration

    How do you know what your colleagues sat opposite you are working on? How about those in another office/building/site? More importantly, do you know who would be the expert on any particular topic within your company?

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  15. The Evolution of Data

    Over the 50 years how we collect and play music has changed dramatically from physical copies on Vinyl through to electronic mp3s. Each new technology often requires a new device and format to play yet it is still essentially just music.

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  16. Semantics in Enterprise Search

    Enterprise Search, a complex challenge in extracting accurate results from the ever-increasing volumes and variability of data.
    But (and it’s a big but), how does a search system know what to look for?

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  17. Loving the Data Others Don’t

    Like it or loathe it, plain text is a goldmine of information. The challenge is that data mining is often complicated through ambiguity. Sure, identifying, disambiguating and extracting those scientific terms is a big challenge but we’ve got it covered.

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