Taking Advantage of Discursive Properties for Validating Hierarchical Semantic Relations from Parallel Enumerative Structures
نویسندگان
چکیده
This paper presents an approach for automatically validating candidate hierarchical relations extracted from parallel enumerative structures. It relies on the discursive properties of these structures and on the combination of resources of different nature, a semantic network and a distributional resource. The results show an accuracy of between 0.50 and 0.67, with a gain of 0.11 when combining the two resources.
منابع مشابه
A Supervised learning for the identification of semantic relations in parallel enumerative structures (Apprentissage supervisé pour l'identification de relations sémantiques au sein de structures énumératives parallèles) [in French]
A Supervised learning for the identification of semantic relations in parallel enumerative structures This work falls within the framework of ontology engineering and learning from encyclopedic or scientific texts. Our original contribution lies within the extraction of semantic relations expressed beyond the text linearity. To this end, we relied on the semantics behind the typo-dispositional ...
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