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Posted to issues@opennlp.apache.org by "Rodrigo Agerri (JIRA)" <ji...@apache.org> on 2014/05/12 13:07:14 UTC

[jira] [Created] (OPENNLP-687) FMeasure change to avoid duplication of true positives in the prediction Spans

Rodrigo Agerri created OPENNLP-687:
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             Summary: FMeasure change to avoid duplication of true positives in the prediction Spans
                 Key: OPENNLP-687
                 URL: https://issues.apache.org/jira/browse/OPENNLP-687
             Project: OpenNLP
          Issue Type: Bug
    Affects Versions: tools-1.5.3
            Reporter: Rodrigo Agerri
            Assignee: Rodrigo Agerri
             Fix For: 1.6.0


As a follow-up of OPENNLP-31, it has been noticed that the FMeasure is calculated in a way that the same prediction can be matched more than once. 

It is proposed to modify the FMeasure class to remove a prediction Span after being matched with a reference Span. 

This change will mean that the FMeasure class will look like the provisional ParseEval class, so that the ParseEval class can be removed. 

Before going ahead and change this we need to ascertain that the F results do not change for other components (chunker, namefinder, etc.)



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