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  1. UIMA
  2. UIMA-2858

Contribute transformation-based rule learning to UIMA Ruta

    Details

    • Type: Task
    • Status: Closed
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 2.0.1ruta
    • Fix Version/s: 2.1.0ruta
    • Component/s: Ruta
    • Labels:
      None

      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.

        Attachments

        1. Trabal.zip
          79 kB
          Peter Klügl

          Activity

            People

            • Assignee:
              pkluegl Peter Klügl
              Reporter:
              pkluegl Peter Klügl
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              Dates

              • Created:
                Updated:
                Resolved: