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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Accademia University Press
2016-06-01
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| Series: | IJCoL |
| Online Access: | https://journals.openedition.org/ijcol/362 |
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| Summary: | 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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| ISSN: | 2499-4553 |