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...
Kaydedildi:
| Yayımlandı: | URI:https://journals.openedition.org/ijcol, |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Article ou chapitre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
IJCoL
2020
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| Online Erişim: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |
| Özet: | 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 exploits the similarity measure computed over a Distributional Semantic Model, in the context of Italian tweets. In order to evaluate the proposed algorithm, we introduce a new dataset of tweets for entity linking that we have developed specifically for the Italian language. |
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