Rasa 3.x Learning Series - Using Lookup Tables to Improve Entity Extraction

Rasa 3.x Learning Series - Using Lookup Tables to Improve Entity Extraction

Improve entity extraction with lookup tables

Entity extraction is one of the most important tasks of any NLU system, and its goal is to extract meaningful information from text.For example, when building a weather bot, you might end up with the following sentences

"What's the weather going to be like in Berlin tomorrow"

Extract the entity and return the information to the user

{"location":"Berlin","time":"pre>