Skip to content

NLU

This section will explain basic concepts in NL Studio and several tips for using it.

Overview

Natural Language Understanding (NLU) in NL Studio is a collection of machine learning models which are used to transform an input of human language into a structed data that can be processed by the machine. The model itself is a set of rules that are generated from training data and is being used as a decision maker for an input. One NLU may have several entities

nlsg-1

Contributing to the Documentation

Is something missing/incorrect? Please let us know by contacting support@kata.ai. If you know how to fix it straight away, don’t hesitate to create a pull request on this documentation’s GitHub repository.