Determining the most frequent senses using Russian linguistic ontology RuThes
Natalia Loukachevitch, Ilia Chetviorkin · 2015
The paper describes a supervised approach for the detection of the most frequent senses of words on the basis of RuThes thesaurus, which is a large linguistic ontology for Russian. Due to the large number of monosemous multiword expressions and the set of RuThes relations it is possible to calculate several context features for ambiguous words and to study their contribution to a supervised model for detecting frequent senses.