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IBM Employees:

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Add default entities like location and amount

The Watson conversation service has the ability to identify both numeric digits and numeric text. I would like the NLU service to have these default entities supported so that I can train models in Knowledge studio with both text and digits. Currently, I am running a file through speech to text which returns numeric text (e.g. eight hundred). The NLU models are trained on digits (e.g. 800) I have to run the text through conversation then into NLU in order for the models to return correctly.

  • Avatar32.5fb70cce7410889e661286fd7f1897de Deleted user
  • Sep 6 2017
  • Planned for future release
Who would benefit from this IDEA? As a user I want NLU to have default system entities like the conversation service
Idea Priority Medium
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  • Avatar40.8f183f721a2c86cd98fddbbe6dc46ec9
    Guest commented
    14 Sep, 2017 01:32pm

    George,

    Thanks for taking time to post your idea. This NLU enhancement is already on the NLU roadmap here: https://bigblue.aha.io/features/NLU-158

    (As an IBMer you should already have "viewer" access to Aha!. If you have issues with your Aha! access, instructions for access are available here: https://bigblueaha.w3ibm.mybluemix.net/)

  • Avatar40.8f183f721a2c86cd98fddbbe6dc46ec9
    Guest commented
    13 Sep, 2017 05:12am

    George, I know that the system entities in Conversation are being redeveloped. It might be interesting to have them as a separate API (or micro-service) so it can be used all kinds of APIs such as NLU but also WKS...


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