Regex entities allow you to provide general letter, number, or combined sequences an entity. For example, the regex ([1-9])+/g matches all number sequences, Meaning that 1234 is recognized as an entity, but also 54214234.
NLP Support
Regex entities are supported by Microsoft LUIS, IBM Watson, Google Dialogflow and Rasa.
How to add an entity To add an entity, you mist click the 'Add Entity +' button. Thereafter, you can toggle between Simple entities and Closed list entities. Add a name that resembles the group of words that the entity will cover. Next, the words can ...
What are simple entities Simple entities can be used to group various words together to remove the need to rewrite utterances that simply use another word. This is often the case for various nouns or names, such as with city names. The NLP trains ...
The is an entity condition diverts the conversation if the input is equal to either the entity name, a canonical value or a utterance. Please select the desired values in the drop-down menus.
What are closed list entities Closed list entities allow you to provide synonyms different ways of spelling for one or multiple entities so that there is no need to add all utterances that use these entities separately. For example, New York is often ...
Intro This block that checks if the user response with multiple entities/answers in one-sentence. If entities are missing, the blocks keeps asking for these remaining entities until all entities are accounted for. You can configure which question the ...