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-nluWe 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 Rust: Rust inference pipeline implementation and bindings (C, Swift, Kotlin, Python)
Rustling: Snips NLU builtin entities parser
Contributing
Please see the Contribution Guidelines.
Copyright
This library is provided by Snips as Open Source software. See LICENSE for more information.
2 maintainers
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