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From Peter Klügl (JIRA) <...@uima.apache.org>
Subject [jira] [Resolved] (UIMA-2858) Contribute transformation-based rule learning to UIMA Ruta
Date Sun, 09 Jun 2013 17:19:19 GMT

     [ https://issues.apache.org/jira/browse/UIMA-2858?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Peter Klügl resolved UIMA-2858.

    Resolution: Fixed

code delivered to textruler project
> Contribute transformation-based rule learning to UIMA Ruta
> ----------------------------------------------------------
>                 Key: UIMA-2858
>                 URL: https://issues.apache.org/jira/browse/UIMA-2858
>             Project: UIMA
>          Issue Type: Task
>          Components: ruta
>    Affects Versions: 2.0.1ruta
>            Reporter: Peter Klügl
>            Assignee: Peter Klügl
>             Fix For: 2.0.2ruta
>         Attachments: Trabal.zip
> 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.

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