We present SubjectivITA: the first Italian corpus for subjectivity detection on news articles, with annotations at sentence and document level. Our corpus consists of 103 articles extracted from online newspapers, amounting to 1,841 sentences. We also define baselines for sentence- and document-level subjectivity detection using transformer-based and statistical classifiers. Our results suggest that sentence-level subjectivity annotations may often be sufficient to classify the whole document
SubjectivITA: An Italian Corpus for Subjectivity Detection in Newspapers / Antici, Francesco; Bolognini, Luca; Inajetovic, Matteo Antonio; Ivasiuk, Bogdan; Galassi, Andrea; Ruggeri, Federico. - STAMPA. - 12880:(2021), pp. 40-52. (Intervento presentato al convegno 12th International Conference of the Cross-Language Evaluation Forum for European Languages, CLEF 2021 tenutosi a Online nel 21 - 24 September 2021) [10.1007/978-3-030-85251-1_4].
SubjectivITA: An Italian Corpus for Subjectivity Detection in Newspapers
Galassi, Andrea
;Ruggeri, Federico
2021
Abstract
We present SubjectivITA: the first Italian corpus for subjectivity detection on news articles, with annotations at sentence and document level. Our corpus consists of 103 articles extracted from online newspapers, amounting to 1,841 sentences. We also define baselines for sentence- and document-level subjectivity detection using transformer-based and statistical classifiers. Our results suggest that sentence-level subjectivity annotations may often be sufficient to classify the whole document| File | Dimensione | Formato | |
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