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Posted to issues@opennlp.apache.org by "Jeff Zemerick (JIRA)" <ji...@apache.org> on 2018/04/03 22:19:00 UTC

[jira] [Closed] (OPENNLP-1181) Custom NER model identifying unwanted entities that never taught.

     [ https://issues.apache.org/jira/browse/OPENNLP-1181?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jeff Zemerick closed OPENNLP-1181.
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    Resolution: Not A Problem

> Custom NER model identifying unwanted entities that never taught.
> -----------------------------------------------------------------
>
>                 Key: OPENNLP-1181
>                 URL: https://issues.apache.org/jira/browse/OPENNLP-1181
>             Project: OpenNLP
>          Issue Type: Bug
>    Affects Versions: 1.8.0
>         Environment: Ubuntu 14.04 LTS
> Java 8
>            Reporter: Mubarak K
>            Priority: Minor
>
> I am new to openNLP and I trained a custom NER model with more than a million sentences using the training API of OpenNlp for identifying the skill that I taught.
> During the testing I have found that the model identifying unwanted entities that never taught. 
> I want to identify only the words that I taught.
> How can improve my custom model for above mentioned result?



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