kalpitha / snips-nlu

Snips Python library to extract meaning from text

Snips NLU

Snips NLU (Natural Language Understanding) is a Python library that allows to parse sentences written in natural language and extracts structured information.

Installing

pip install snips-nlu

We currently have pre-built binaries (wheels) for snips-nlu and its dependencies for MacOS and Linux x86_64. If you use a different architecture/os you will need to build these dependencies from sources which means you will need to install setuptools_rust and Rust before running the pip install snips-nlu command.

A simple example

Let’s take an example to illustrate the main purpose of this lib, and consider the following sentence:

"What will be the weather in paris at 9pm?"

Properly trained, the Snips NLU engine will be able to extract structured data such as:

{
   "intent": {
      "intentName": "searchWeatherForecast",
      "probability": 0.95
   },
   "slots": [
      {
         "value": "paris",
         "entity": "locality",
         "slotName": "forecast_locality"
      },
      {
         "value": {
            "kind": "InstantTime",
            "value": "2018-02-08 20:00:00 +00:00"
         },
         "entity": "snips/datetime",
         "slotName": "forecast_start_datetime"
      }
   ]
}

Documentation

To find out how to use Snips NLU please refer to our documentation, it will provide you with a step-by-step guide on how to use and setup our library.

Links

• Snips NLU
• Snips NLU Rust: Rust inference pipeline implementation and bindings (C, Swift, Kotlin, Python)
• Rustling: Snips NLU builtin entities parser
• Snips
• Bug tracker

Contributing

Please see the Contribution Guidelines.

Copyright

This library is provided by Snips as Open Source software. See LICENSE for more information.