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Update README.md

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@@ -20,7 +20,17 @@ It has been trained on the French *Encyclopédie ou dictionnaire raisonné des s
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  ## Class labels
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- %TODO
 
 
 
 
 
 
 
 
 
 
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  ## Class labels
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+ <!-- Provide a list of tag detected by the model. -->
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+
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+ The NER detected by this model are:
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+ - **NC-Spatial**: a common noun that identifies a spatial entity (nominal spatial entity) including natural features, e.g. `ville`, `la rivière`, `royaume`.
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+ - **NP-Spatial**: a proper noun identifying the name of a place (spatial named entities), e.g. `France`, `Paris`, `la Chine`.
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+ - **Relation**: spatial relation, e.g. `dans`, `sur`, `à 10 lieues de`.
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+ - **NC-Person**: a common noun that identifies a person (nominal spatial entity), e.g. `roi`, `l'empereur`, `les auteurs`.
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+ - **NP-Person**: a proper noun identifying the name of a person (person named entities), e.g. `Louis XIV`, `Pline`, `les Romains`.
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+ - **NP-Misc**: a proper noun identifying entities not classified as spatial or person, e.g. `l'Eglise`, `1702`, `Pélasgique`.
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+ - **Head**: entry name
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+ - **Domain-Mark**: words indicating the knowledge domain (usually after the head and between parenthesis), e.g. `Géographie`, `Geog.`, `en Anatomie`.
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