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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 about. 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.

DARC-IT: A DAtaset for reading comprehension in Italian

Brunato D;Dell'Orletta F
2018

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 about. 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.
2018
Inglese
5th Italian Conference on Computational Linguistics (CLiC-it)
2253
http://www.scopus.com/record/display.url?eid=2-s2.0-85057748908&origin=inward
Sì, ma tipo non specificato
10-12/12/2018
Torino
Reading Comprehension
2-s2.0-85057748908
2
none
Brunato D.; Valeriani M.; Dell'Orletta F.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/392547
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