Regarding the best way of analyzing issues with the dialog [Sayings] and training the NLU in bulk with user inputs

[Neo032020]

Question-

As currently there is a "Train" button for training of agent for given sayings..

1. Is this "Train" Button also train the conversation of user from the Review tab Automatically, I doubt it training only adding saying only, Right?

2. Is there any other way to train agent for automated training of user conversation in bulk?

--You have very nice Articulate product , I reviewed your blogs and post for new release, but i am really very disappointed that you added screenshots are very low resolution images, unable to understand. and very limited source of knowledge you provided.

my main concern is about the best way of analyzing issues with the dialog [Sayings] and training the NLU in bulk with user inputs we recorded in review tab of articulate
Please help me

Thanks

System Info.
Operating Environment:
Version 80.0.3987.149 (Official Build) (64-bit) Version 0.31.1 Ubuntu 18.04 running on Chrome over the cloud on a AWS C5.2xlarge instance.

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[wrathagom]

There is no training of full conversations, the only training that Articulate does is for intent and entity recognition.

There is no "in bulk" training facilities provided unless you want to directly use the Articulate API to add sayings and train your agent.

[Neo032020]

There is no training of full conversations, the only training that Articulate does is for intent and entity recognition.

There is no "in bulk" training facilities provided unless you want to directly use the Articulate API to add sayings and train your agent.

Thanks sir for your response
I would like to keep in touch for efficiently use of Articulate

[Neo032020]

Dear Sir

I have one more query, please help me out if possible..
Articulate uses RASA NLU api to train RASA,
Is there any way so that we can train RASA automatically or manual with our user conversation [like updating some directory file/Importing etc.] so that our agent become smarter with day by day user conversations, after all dialogflow does the same thing right!