Modeling the level of involvement of verbal arguments

Abstract

The purpose of this paper is to discuss the output of a neural network based on a linguistic model for recognizing the levels of involvement of different verbal arguments, assuming the non-discreteness of thematic relations and their non-primitiveness in linguistic theory. The network's output called for hypothesizing that, contrary to the received view, there is no equal level of involvement in verbal arguments, one having to be always more invovolved than the others, even when having the same number of Proto-Agent and Proto-Patients contributing properties.