Chatbots should be confident when it comes to resolving intent and extracting entities. However, high confidence also means that the bot may sometimes not resolve information if the user makes mistakes while entering it. This article shows how you can add unsharpness to entity extraction using the Fuzzy Match option on an entity to allow users spelling mistakes or providing values that don’t perfectly match a known entity value or synonym.
Example
The sample below show the intent tester with a query for car manufacturers based in Germany. The value list entity has the manufacturer’s home country set as a synonym. The next image shows the same query with German instead of Germany. Note that German is not among the defined synonyms. Read the complete article here.
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