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- W2906706482 abstract "In this paper, we present DARC-IT, a new reading comprehension dataset for the Italian language aimed at identifying ‘question-worthy’ sentences, i.e. sentences in a text which contain information that is worth asking a question about1. The purpose of the corpus is twofold: to investigate the linguistic profile of question-worthy sentences and to support the development of automatic question generation systems." @default.
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- W2906706482 date "2018-01-01" @default.
- W2906706482 modified "2023-09-24" @default.
- W2906706482 title "DARC-IT: a DAtaset for Reading Comprehension in Italian" @default.
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- W2906706482 doi "https://doi.org/10.4000/books.aaccademia.3099" @default.
- W2906706482 hasPublicationYear "2018" @default.
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