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
Antici, F., Bolognini, L., Inajetovic, M.A., Ivasiuk, B., Galassi, A., Ruggeri, F. (2021). SubjectivITA: An Italian Corpus for Subjectivity Detection in Newspapers [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 | |
|---|---|---|---|
|
_CLEF2021__SubjectivITA.pdf
accesso aperto
Tipo:
Postprint
Licenza:
Licenza per accesso libero gratuito
Dimensione
466.99 kB
Formato
Adobe PDF
|
466.99 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
