Major Description
A new rule learning algorithm for the TextRuler framework of the UIMA Ruta Workbench, which is able to induce transformation-based error-driven rules. The basic idea is similar to the Brill-Tagger, but it is completely generic (no rule templates) and can also handle arbitrary annotations instead of tags of tokens. This algorithms was built in order to learn how to correct the annotations of arbitrary models or human annotators.