Entity Linking for the Semantic Annotation of Italian Tweets

Linking entity mentions in Italian tweets to concepts in a knowledge base is a challenging task, due to the short and noisy nature of these short messages and the lack of specific resources for Italian. This paper proposes an adaptation of a general purpose Named Entity Linking algorithm, which expl...

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Dades bibliogràfiques
Publicat a:URI:https://journals.openedition.org/ijcol,
Autors principals: Basile, Pierpaolo, Semeraro, Giovanni, Caputo, Annalina
Format: Article ou chapitre numérique
Idioma:Anglais
Publicat: IJCoL 2020
Accés en línia:Accès Université d'Orléans et IFPM
Accès Université d'Orléans et IFPM

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