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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:
- Initialization: TODO.
- UNL sentences Loading: TODO.
- Transduction Process: the UNL-RDF graphs are extended to obtain semantic nets.
- Classification / Instanciation
- 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: