Kipper Schuler's (2005) Verb-Net, grouping English verbs into classes defined by shared meaning components and syntactic behaviour, is one of the richest lexical verb resources currently available, and its utility in various NLP applications has been repeatedly demonstrated (Rios et al., 2011;Windisch Brown et al., 2011;Schmitz et al., 2012;Lippincott et al., 2013;Bailey et al., 2015).
creation of a similar resource from scratch, drawing simultaneously on semantic and syntactic criteria, is a challenging and time-consuming task when attempted by annotators without theoretical linguistics background (Majewska et al., 2017).