Showing 4 open source projects for "enterprise"

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  • 1

    Semantic Assistants

    Natural Language Processing (NLP) for the Masses

    Semantic Assistants support users in content retrieval, analysis, and development, by offering context-sensitive NLP services directly integrated in standard desktop clients, like a word processor, and web information systems, like a wiki.
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  • 2
    CRIS-IE-Smoking

    CRIS-IE-Smoking

    GATE based app to extract patient smoking status from free text

    This application was developed by the NIHR Biomedical Research Centre at the Institute of Psychiatry and South London and Maudsley NHS Foundation Trust, in collaboration with the University of Sheffield. Its purpose is to identify the smoking status of a individual, based on text evidence in clinical notes. Currently, it classifies patients as 'current', 'past' or 'never'. It runs on the GATE infrastructure, available at http://gate.ac.uk/. Please contact richard.g.jackson@slam.nhs.uk for...
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  • 3
    Use our tools to hand edit phonetic word dictionaries for speech recognition engines. The new G2P4J format supporting SAMPA and Kirshenbaum IPA is portable to Sphinx, Julius and others. Demo medical, legal and technical dictionaries are featured.
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  • 4

    PRDL Tools

    Privacy Rule Definition Language to write Enterprise Privacy Policies

    PRDL is one of the core components within the ENDORSE project. The scope of the language is to encompass clauses from data protection legislation and enterprise privacy policies in order to e.g. derive data access decisions automatically based on the enterprise privacy policies (EPPs). There have been many initiatives for expressing privacy rules and legal restrictions into a computable way. The attempt of PRDL is to present a collaborative result towards a multistakeholder language. The goal was that PRDL should be sufficiently expressive to define EPPs for SMEs, it should link the wording of the data privacy laws of different European countries, and it should be represented in natural language and therefore should be easy to understand. ...
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