Probabilistic Programming (PP)[Pfeiffer, 2016] has recently emerged as a useful tool for building complex probabilistic models and for performing inference and learning on them Probabilistic Logic Programming (PLP) is PP based on Logic Programming, that allows to model domains characterized by complex and uncertain relationships among domain entities Often a problem description is given in human (natural) language: the set of techniques developed to find automatic ways to understand a text goes under the name of Natural Language Processing (NLP)