Simple Rule Language

Simple rule language (SRL) is a regular expression based language developed to perform fact extraction from plain text. It is designed to operate as a two stage process by firstly extracting a set of predefined entity classes (named entity recognition) and then using these entities to fill in template slots using contextual rules. The SRL Editor aims to supply built in support for hand-crafted rule testing and revision, e.g. to find text segments where no rules are matching or to find rules which do not match any text.