Training LUIS to predict entities without Phrase List

0
votes

I am trying to train LUIS to recognize entity through few utterances. I initially tried to train with few utterances with different entity values. The entity values are made up of two words or more. For example, 'customer engagement', 'empower your teams' etc. I am not able to get LUIS to identify the entity correctly because of the variation in the number of words.

I cannot use Phrase List as the values as the values are dynamic.

How can I get train LUIS to recognize the multiple words in the utterance and identify the entity effectively?

1
azure-language-understanding
Please make sure you follow the authoring cycle guidelines (docs.microsoft.com/en-us/azure/cognitive-services/luis/…). Include your app definition, example utterances, and endpoint query results, if you want more help. – DFBerry

1 Answers

0
votes

This still requires you to provide some training data in the form of canonical values and synonyms, but another way to approach this would be to use a list entity inside of a composite entity. Other than this, you'll currently have to provide a larger amounts of training data/phrase list data as LUIS doesn't look at the definition of a word.