Inferences for Lexical Semantic Resource Building with Less Supervision

Nadia Bebeshina-Clairet (1, 2) , Mathieu Lafourcade (2)

1 Praxiling - Praxiling
2 TEXTE - Exploration et exploitation de données textuelles

Lexical semantic resources may be built using various approaches such as extraction from corpora, integration of the relevant pieces of knowledge from the pre-existing knowledge resources, and endogenous inference. Each of these techniques needs human supervision in order to deal with the potential errors, mapping difficulties or inferred candidate validation. We detail how various inference processes can be employed for lexical semantic resource building with less supervision. Our experience is based on the combination of different inference techniques for multilingual resource building and evaluation.

Mots clés: Inference; Multilingual knowledge resource; Semantic relations; Validation

Domaines: Intelligence artificielle [cs.AI]; Informatique et langage [cs.CL]

Nadia Bebeshina-Clairet, Mathieu Lafourcade. Inferences for Lexical Semantic Resource Building with Less Supervision. LREC 2020 - 12th Conference on Language Resources and Evaluation, May 2020, Marseille, France. pp.2300-2305. ⟨hal-02863540⟩