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

["Jeff Zemerick (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/OPENNLP-1181?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16424691#comment-16424691 ] 

Jeff Zemerick commented on OPENNLP-1181:
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This is best posed as a question on the [users mailing list|https://opennlp.apache.org/mailing-lists.html].

> 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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