Papers by Franco Alberto Cardillo

1 papers
Italian Word Embeddings for the Medical Domain (2024.lrec-main)

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Challenge: Neural word embeddings have proven valuable in the development of medical applications, but for the Italian language, there are no publicly available corpora, embedds, or evaluation resources tailored to this domain.
Approach: They propose to use a corpus of medical texts to generate neural word embeddings in Italian using Metathesaurus concept graphs.
Outcome: The results show that the new embeddings correlate well with human judgments regarding similarity and relatedness of medical concepts.

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