In this paper, we present a crowdsourcing-based approach to model the human perception of sentence complexity. We collect a large corpus of sentences rated with judgments of complexity for two typologically-different languages, Italian and English. We test our approach in two experimental scenarios aimed to investigate the contribution of a wide set of lexical, morpho-syntactic and syntactic phenomena in predicting i) the degree of agreement among annotators independently from the assigned judgment and ii) the perception of sentence complexity.

Is this sentence difficult? Do you agree?

Brunato D;Dell'Orletta F;Venturi G
2018

Abstract

In this paper, we present a crowdsourcing-based approach to model the human perception of sentence complexity. We collect a large corpus of sentences rated with judgments of complexity for two typologically-different languages, Italian and English. We test our approach in two experimental scenarios aimed to investigate the contribution of a wide set of lexical, morpho-syntactic and syntactic phenomena in predicting i) the degree of agreement among annotators independently from the assigned judgment and ii) the perception of sentence complexity.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Brunato D it
dc.authority.people De Mattei L it
dc.authority.people Dell'Orletta F it
dc.authority.people Iavarone B it
dc.authority.people Venturi G it
dc.collection.id.s 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d *
dc.collection.name 04.01 Contributo in Atti di convegno *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/17 21:37:23 -
dc.date.available 2024/02/17 21:37:23 -
dc.date.issued 2018 -
dc.description.abstracteng In this paper, we present a crowdsourcing-based approach to model the human perception of sentence complexity. We collect a large corpus of sentences rated with judgments of complexity for two typologically-different languages, Italian and English. We test our approach in two experimental scenarios aimed to investigate the contribution of a wide set of lexical, morpho-syntactic and syntactic phenomena in predicting i) the degree of agreement among annotators independently from the assigned judgment and ii) the perception of sentence complexity. -
dc.description.affiliations Università di Pisa; Scuola Normale Superiore di Pisa; Istituto di Linguistica Computazionale (ILC-CNR) -
dc.description.allpeople Brunato D.; De Mattei L.; Dell'Orletta F.; Iavarone B.; Venturi G. -
dc.description.allpeopleoriginal Brunato D., De Mattei L., Dell'Orletta F., Iavarone B., Venturi G. -
dc.description.fulltext none en
dc.description.numberofauthors 3 -
dc.identifier.doi 10.18653/v1/D18-1289 -
dc.identifier.isbn 978-1-948087-84-1 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/371346 -
dc.identifier.url https://www.aclweb.org/anthology/D18-1289/ -
dc.language.iso eng -
dc.publisher.country USA -
dc.publisher.name Association for Computational Linguistics -
dc.publisher.place Stroudsburg -
dc.relation.conferencedate 31/10/2018-04/11/2018 -
dc.relation.conferencename Conference on Empirical Methods in Natural Language Processing (EMNLP) -
dc.relation.conferenceplace Brussels -
dc.relation.firstpage 1 -
dc.relation.lastpage 10 -
dc.relation.numberofpages 10 -
dc.subject.keywords Linguistic complexity -
dc.subject.keywords Crowdsourcing -
dc.subject.keywords Human perception -
dc.subject.singlekeyword Linguistic complexity *
dc.subject.singlekeyword Crowdsourcing *
dc.subject.singlekeyword Human perception *
dc.title Is this sentence difficult? Do you agree? en
dc.type.driver info:eu-repo/semantics/conferenceObject -
dc.type.full 04 Contributo in convegno::04.01 Contributo in Atti di convegno it
dc.type.miur 273 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 391619 -
iris.orcid.lastModifiedDate 2024/03/01 16:52:13 *
iris.orcid.lastModifiedMillisecond 1709308333661 *
iris.scopus.extIssued 2018 -
iris.scopus.extTitle Is this sentence difficult? Do you agree? -
iris.sitodocente.maxattempts 1 -
iris.unpaywall.bestoaversion publishedVersion *
iris.unpaywall.doi 10.18653/v1/d18-1289 *
iris.unpaywall.isoa true *
iris.unpaywall.landingpage https://doi.org/10.18653/v1/d18-1289 *
iris.unpaywall.license cc-by *
iris.unpaywall.metadataCallLastModified 28/12/2025 04:49:41 -
iris.unpaywall.metadataCallLastModifiedMillisecond 1766893781057 -
iris.unpaywall.oastatus gold *
iris.unpaywall.pdfurl https://www.aclweb.org/anthology/D18-1289.pdf *
Appare nelle tipologie: 04.01 Contributo in Atti di convegno
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