In 2015, we introduced a novel knowledge extraction framework called the Distiller Framework, with the goal of offering the research community a flexible, multilingual information extraction framework. Two years later, the project has significantly evolved, by supporting more languages and many machine learning algorithms. In this paper we present the current design of the framework and some of its applications.
