Hi, I am building a chatbot which can retrieve employee details based on
- Name
- Location For the same, I created an intent-“inform” as the following with 50 examples for each entity - “emp_name” and “emp_location”.
inform
- The NLU model is not extracting “emp_name” and “emp_cities” entities as expected. When I checked with “rasa nlu shell”, these names and locations are being classified as intent-“greet”. Should I increase the number of examples? If so, how many examples are needed?
- Almost all of the names are single-worded and how to make the model understand that a particular word is a name and another is a location?