Introduction

Probabilistic soft logic (PSL) is a modeling language (with accompanying implementation) for learning and predicting in relational domains. Such tasks occur in many areas such as natural language processing, social-network analysis, computer vision, and machine learning in general.

PSL allows users to describe their problems in an intuitive, logic-like language and then apply their models to data.

Details:

The following presentation provides more information on PSL: