Snips NLU Parsers

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This Rust crate provides APIs to extract entities in the context of a Natural Language Understanding (NLU) task.

A Python wrapper <python>_ is also available.

Installation

Add this to your Cargo.toml:

.. code-block:: toml

[dependencies] snips-nlu-parsers = { git = "https://github.com/snipsco/snips-nlu-parsers", tag = "0.1.0" }

Usage

.. code-block:: rust

use snips_nlu_parsers::{BuiltinEntityKind, BuiltinEntityParserLoader, Language};

fn parse_entities() { let parser = BuiltinEntityParserLoader::new(Language::EN).load().unwrap(); let entities: Vec<(_, _)> = parser .extract_entities("Book me restaurant for two people tomorrow", None) .unwrap() .into_iter() .map(|e| (e.entity_kind, e.range)) .collect(); assert_eq!( vec![ (BuiltinEntityKind::Number, 23..26), (BuiltinEntityKind::Time, 34..42) ], entities ); }

License

Licensed under either of

• Apache License, Version 2.0 (LICENSE-APACHE <LICENSE-APACHE>_ or http://www.apache.org/licenses/LICENSE-2.0)
• MIT license (LICENSE-MIT <LICENSE-MIT>_) or http://opensource.org/licenses/MIT) at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.