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- W3128473709 abstract "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." @default.
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- W3128473709 date "2016-06-01" @default.
- W3128473709 modified "2023-10-14" @default.
- W3128473709 title "Entity Linking for the Semantic Annotation of Italian Tweets" @default.
- W3128473709 doi "https://doi.org/10.4000/ijcol.362" @default.
- W3128473709 hasPublicationYear "2016" @default.
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