Named Entity Recognition for German Using Conditional Random Fields and Linguistic Resources

Patrick Watrin (1) , Louis de Viron (1) , Denis Lebailly (1) , Mathieu Constant (2) , Stéphanie Weiser (1)

1 EarlyTracks SA
2 LIGM - Laboratoire d'Informatique Gaspard-Monge

This paper presents a Named Entity Recognition system for German based on Conditional Random Fields. The model also includes language-independent features and features computed form large coverage lexical resources. Along side the results themselves, we show that by adding linguistic resources to a probabilistic model, the results improve significantly.

Domaines: Traitement du texte et du document

Patrick Watrin, Louis de Viron, Denis Lebailly, Mathieu Constant, Stéphanie Weiser. Named Entity Recognition for German Using Conditional Random Fields and Linguistic Resources. GermEval 2014 Named Entity Recognition Shared Task - KONVENS 2014 Workshop, Oct 2014, Hildesheim, Germany. ⟨hal-01402574⟩