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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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