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CHANGELOG.md

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    TENET - Terminology Extraction using Net Extension by (semantic) Transduction


    This tool exploits an intermediate semantic representation (UNL-RDF graphs) to construct an ontology representations of NL sentences. [TODO: compléter]

    The treatment is carried out in two stages:

    1. Initialization: TODO.
    2. UNL sentences Loading: TODO.
    3. Transduction Process: the UNL-RDF graphs are extended to obtain semantic nets.
    4. Classification / Instanciation
    5. Reasonning

    [TODO: compléter la description]

    1 - Implementation

    This implementation was made using Python languages, with UNL as pivot structure.

    [TODO: talk about UNL-RDF graph (obtained using UNL-RDF schemas)]

    The following module is included as main process: