DOAJ Open Access 2016

Entity Linking for the Semantic Annotation of Italian Tweets

Pierpaolo Basile Giovanni Semeraro Annalina Caputo

Abstrak

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.

Topik & Kata Kunci

Social Sciences Computational linguistics. Natural language processing

Penulis (3)

Pierpaolo Basile

Giovanni Semeraro

Annalina Caputo

Format Sitasi

APA MLA BibTeX

Basile, P., Semeraro, G., Caputo, A. (2016). Entity Linking for the Semantic Annotation of Italian Tweets. https://doi.org/10.4000/ijcol.362

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Informasi Jurnal

Tahun Terbit: 2016
Sumber Database: DOAJ
DOI: 10.4000/ijcol.362
Akses: Open Access ✓