A Short Introduction to Probabilistic Soft Logic

TitleA Short Introduction to Probabilistic Soft Logic
Publication TypeConference Paper
Year of Publication2012
AuthorsKimmig, A, Bach, S, Broecheler, M, Huang, B, Getoor, L
Conference NameNIPS Workshop on PPFA
Abstract

Probabilistic soft logic (PSL) is a framework for collective, probabilistic reasoning in relational domains. PSL uses first order logic rules as a template language for graphical models over random variables with soft truth values from the interval [0; 1]. Inference in this setting is a continuous optimization task, which can be solved efficiently. This paper provides an overview of the PSL language and its techniques for inference and weight learning. An implementation of PSL is available at http://psl.umiacs.umd.edu/.