Struct LexiconNER 

pub struct LexiconNER { /* private fields */ }

NER backend that uses exact-match lexicon lookup.

Scans text for known entities from a lexicon/gazetteer. Best for closed-domain entities where the full list is known.

This is a library-only backend with no CLI entry point (--model lexicon is not available). Use it programmatically via Pipeline or directly through the Model trait.

Implementations

impl LexiconNER

pub fn new(lexicon: impl Lexicon + 'static) -> LexiconNER

Create a new LexiconNER with the given lexicon.

pub fn with_case_sensitive(self, case_sensitive: bool) -> LexiconNER

Create with case-sensitive matching.

pub fn with_word_boundary(self, word_boundary: bool) -> LexiconNER

Create with word boundary requirement.

If true, only matches whole words (default). If false, matches substrings (e.g., “Apple” matches in “AppleInc”).

pub fn lexicon(&self) -> &dyn Lexicon

Get a reference to the underlying lexicon.

Trait Implementations

impl Model for LexiconNER

fn extract_entities( &self, text: &str, language: Option<Language>, ) -> Result<Vec<Entity>, Error>

Extract entities from text.

fn supported_types(&self) -> Vec<EntityType>

Get supported entity types.

fn is_available(&self) -> bool

Check if model is available and ready.

fn name(&self) -> &'static str

Get the model name/identifier.

fn description(&self) -> &'static str

Get a description of the model.

fn capabilities(&self) -> ModelCapabilities

Get capability summary for this model.

fn extract_batch( &self, texts: &[&str], language: Option<Language>, ) -> Vec<Result<Vec<Entity>, Error>>

Extract entities from multiple texts.

fn version(&self) -> String

Get a version identifier for the model configuration/weights.