In this paper we present a new evaluation resource for Italian aimed at assessing the role of textual connectives in the comprehension of the meaning of a sentence. The resource is arranged in two sections (acceptability assessment and cloze test), each one corresponding to a distinct challenge task conceived to test how subtle modifications involving connectives in real usage sentences influence the perceived acceptability of the sentence by native speakers and Neural Language Models (NLMs). Although the main focus is the presentation of the dataset, we also provide some preliminary data comparing human judgments and NLMs performance in the two tasks.

On the role of textual connectives in sentence comprehension: A new dataset for Italian

Miaschi A;Brunato D
2021

Abstract

In this paper we present a new evaluation resource for Italian aimed at assessing the role of textual connectives in the comprehension of the meaning of a sentence. The resource is arranged in two sections (acceptability assessment and cloze test), each one corresponding to a distinct challenge task conceived to test how subtle modifications involving connectives in real usage sentences influence the perceived acceptability of the sentence by native speakers and Neural Language Models (NLMs). Although the main focus is the presentation of the dataset, we also provide some preliminary data comparing human judgments and NLMs performance in the two tasks.
Campo DC Valore Lingua
dc.authority.anceserie CEUR WORKSHOP PROCEEDINGS -
dc.authority.anceserie CEUR Workshop Proceedings -
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Albertin G it
dc.authority.people Miaschi A it
dc.authority.people Brunato D it
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dc.date.accessioned 2024/02/21 03:34:11 -
dc.date.available 2024/02/21 03:34:11 -
dc.date.issued 2021 -
dc.description.abstracteng In this paper we present a new evaluation resource for Italian aimed at assessing the role of textual connectives in the comprehension of the meaning of a sentence. The resource is arranged in two sections (acceptability assessment and cloze test), each one corresponding to a distinct challenge task conceived to test how subtle modifications involving connectives in real usage sentences influence the perceived acceptability of the sentence by native speakers and Neural Language Models (NLMs). Although the main focus is the presentation of the dataset, we also provide some preliminary data comparing human judgments and NLMs performance in the two tasks. -
dc.description.affiliations University of Padova, University of Padova, , Italy; Department of Computer Science, University of Pisa, Department of Computer Science, University of Pisa, , Italy; Istituto di Linguistica Computazionale Antonio Zampolli (ILC-CNR), ItaliaNLP Lab, Istituto di Linguistica Computazionale "Antonio Zampolli" (ILC-CNR) ItaliaNLP Lab, -
dc.description.allpeople Albertin G.; Miaschi A.; Brunato D. -
dc.description.allpeopleoriginal Albertin G.; Miaschi A.; Brunato D. -
dc.description.fulltext none en
dc.description.numberofauthors 2 -
dc.identifier.scopus 2-s2.0-85121216473 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/440996 -
dc.identifier.url http://ceur-ws.org/Vol-3033/paper16.pdf -
dc.language.iso eng -
dc.miur.last.status.update 2024-12-20T09:04:42Z *
dc.relation.conferencedate 26-28/01/2022 -
dc.relation.conferencename 8th Italian Conference on Computational Linguistics (CLIC-it 2021) -
dc.relation.conferenceplace Milano -
dc.relation.volume 3033 -
dc.subject.keywords neural language models -
dc.subject.keywords textual connectives -
dc.subject.keywords sentence acceptability -
dc.subject.singlekeyword neural language models *
dc.subject.singlekeyword textual connectives *
dc.subject.singlekeyword sentence acceptability *
dc.title On the role of textual connectives in sentence comprehension: A new dataset for Italian en
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iris.orcid.lastModifiedDate 2024/03/15 08:56:08 *
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iris.scopus.extIssued 2021 -
iris.scopus.extTitle On the role of textual connectives in sentence comprehension: A new dataset for Italian -
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scopus.contributor.affiliation University of Padova -
scopus.contributor.affiliation ItaliaNLP Lab -
scopus.contributor.affiliation ItaliaNLP Lab -
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scopus.contributor.country Italy -
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scopus.contributor.country -
scopus.contributor.dptid -
scopus.contributor.dptid 114087935 -
scopus.contributor.dptid 114087935 -
scopus.contributor.name Giorgia -
scopus.contributor.name Alessio -
scopus.contributor.name Dominique -
scopus.contributor.subaffiliation -
scopus.contributor.subaffiliation Istituto di Linguistica Computazionale Antonio Zampolli (ILC-CNR); -
scopus.contributor.subaffiliation Istituto di Linguistica Computazionale Antonio Zampolli (ILC-CNR); -
scopus.contributor.surname Albertin -
scopus.contributor.surname Miaschi -
scopus.contributor.surname Brunato -
scopus.date.issued 2021 *
scopus.description.abstracteng In this paper we present a new evaluation resource for Italian aimed at assessing the role of textual connectives in the comprehension of the meaning of a sentence. The resource is arranged in two sections (acceptability assessment and cloze test), each one corresponding to a distinct challenge task conceived to test how subtle modifications involving connectives in real usage sentences influence the perceived acceptability of the sentence by native speakers and Neural Language Models (NLMs). Although the main focus is the presentation of the dataset, we also provide some preliminary data comparing human judgments and NLMs performance in the two tasks. *
scopus.description.allpeopleoriginal Albertin G.; Miaschi A.; Brunato D. *
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scopus.language.iso eng *
scopus.publisher.name CEUR-WS *
scopus.relation.conferencedate 2022 *
scopus.relation.conferencename 8th Italian Conference on Computational Linguistics, CLiC-it 2021 *
scopus.relation.conferenceplace Universita degli Studi di Milano-Bicocca, ita *
scopus.relation.volume 3033 *
scopus.title On the role of textual connectives in sentence comprehension: A new dataset for Italian *
scopus.titleeng On the role of textual connectives in sentence comprehension: A new dataset for Italian *
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