To this end, we leverage on VerbNet (Schuler, 2005), the largest English verb lexicon currently available, and Sentic LDA (Poria et al., 2016c), a classification framework that integrates commonsense in the calculation of word distributions in the linear discriminant analysis (LDA) algorithm.
we use a semi-supervised version of Sentic LDA in order to incorporate both supervised (VerbNet-labeled) and unsupervised information in such a way that a proper semantic space which reflects the desired information (verb concepts) is obtained.