Quantitative methods for identifying systematic polysemy classes

Laure Vieu (1, 2, 3) , Elisabetta Jezek (4) , Tim van de Cruys (2)

1 LOA - Laboratory for Applied Ontology
2 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours
3 CNRS - Centre National de la Recherche Scientifique
4 UNIPV - Università degli Studi di Pavia = University of Pavia

In this paper we report the results of four experiments conducted to extract lists of nouns that exhibit inherent polysemy from corpus data following semiautomatic and automatic procedures. We compare the methods used and the results obtained. We argue that quantitative methods can be used to distinguish different classes of polysemous nouns in the language on the basis of the variability of copredication contexts.

Mots clés: Quantitative methods; Lists of nouns

Domaines: Informatique et langage [cs.CL]

Laure Vieu, Elisabetta Jezek, Tim van de Cruys. Quantitative methods for identifying systematic polysemy classes. 6th Conference on Quantitative Investigations in Theoretical Linguistics (QITL 2015), Nov 2015, Tübingen, Germany. pp.1-5, ⟨10.15496/publikation-8630⟩. ⟨hal-02397478⟩