Papers with Italian corpus

2 papers
A Corpus for Sentence-Level Subjectivity Detection on English News Articles (2024.lrec-main)

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Challenge: Existing approaches to spotting subjectivity require language-specific tools.
Approach: They develop annotation guidelines for sentence-level subjectivity detection that are not limited to language-specific cues.
Outcome: The proposed framework enables subjectivity detection in English and across other languages without relying on language-specific tools, such as lexicons or machine translation.
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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