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Posted to issues@opennlp.apache.org by "Rodrigo Agerri (JIRA)" <ji...@apache.org> on 2014/06/04 09:41:01 UTC

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

    [ https://issues.apache.org/jira/browse/OPENNLP-687?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14017458#comment-14017458 ] 

Rodrigo Agerri commented on OPENNLP-687:
----------------------------------------

All tests passed, proceeding to close this issue. 

> 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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