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Annotation sémantique et validation terminologique en texte intégral en SHS
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Abstract:
Our work is in the field of the validation of term candidates occurrences in context. The textual data used in this article comes from the freely available corpus SCIENTEXT. The term candidates are computed by the platform TTC-TermSuite and their occurrences are projected in the texts. The main issue of this article is to examine how contexts are able to provide relevant linguistic criteria to validate or reject each occurrence of term candidates according to the distinction between a terminological and a non terminological use (general language, transdisciplinary use, use coming from another science). To answer this question, we compare two methods (a textometric one and another inspired from Lesk) with the manual annotation of the same corpus and we evaluate if a semantic annotation of contexts improves the accuracy of the choices made automatically.
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URL: http://talnarchives.atala.org/TALN/TALN-2014/taln-2014-long-032.pdf http://orca.cf.ac.uk/113070/
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