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        <identifier><![CDATA[oai:it.cnr:prodotti:oai:it.cnr:prodotti:391619]]></identifier>
        <datestamp><![CDATA[2023-11-06T19:32:26Z]]></datestamp>
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          <dc:type><![CDATA[info:eu-repo/semantics/conferenceObject]]></dc:type>
          <dc:type><![CDATA[Contributo in atti di convegno]]></dc:type>
          <dc:title><![CDATA[Is this sentence difficult? Do you agree?]]></dc:title>
          <dc:creator><![CDATA[Brunato D.]]></dc:creator>
          <dc:creator><![CDATA[De Mattei L.]]></dc:creator>
          <dc:creator><![CDATA[Dell'Orletta F.]]></dc:creator>
          <dc:creator><![CDATA[Iavarone B.]]></dc:creator>
          <dc:creator><![CDATA[Venturi G.]]></dc:creator>
          <dc:language><![CDATA[eng]]></dc:language>
          <dc:description><![CDATA[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>
          <dc:source><![CDATA[Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1–10, Brussels, 31/10/2018-04/11/2018]]></dc:source>
          <dc:source><![CDATA[info:cnr-pdr/source/autori:Brunato D., De Mattei L., Dell'Orletta F., Iavarone B., Venturi G./congresso_nome:Conference on Empirical Methods in Natural Language Processing (EMNLP)/congresso_luogo:Brussels/congresso_data:31%2F10%2F2018-04%2F11%2F2018/anno:2018/pagina_da:1/pagina_a:10/intervallo_pagine:1–10]]></dc:source>
          <dc:publisher><![CDATA[Association for Computational Linguistics, Stroudsburg, USA]]></dc:publisher>
          <dc:date><![CDATA[2018]]></dc:date>
          <dc:identifier><![CDATA[http://www.cnr.it/prodotto/i/391619]]></dc:identifier>
          <dc:identifier><![CDATA[https://publications.cnr.it/doc/391619]]></dc:identifier>
          <dc:identifier><![CDATA[https://dx.doi.org/10.18653/v1/D18-1289]]></dc:identifier>
          <dc:identifier><![CDATA[info:doi:10.18653/v1/D18-1289]]></dc:identifier>
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          <dc:identifier><![CDATA[https://www.aclweb.org/anthology/D18-1289/]]></dc:identifier>
          <dc:identifier><![CDATA[urn:isbn:978-1-948087-84-1]]></dc:identifier>
          <dc:relation><![CDATA[info:cnr-pdr/author/idpersonaleesterno:22947/BRUNATO/DOMINIQUE PIERINA]]></dc:relation>
          <dc:relation><![CDATA[info:cnr-pdr/author/matricola:14329/DELL'ORLETTA/FELICE]]></dc:relation>
          <dc:relation><![CDATA[info:cnr-pdr/author/matricola:17692/VENTURI/GIULIA]]></dc:relation>
          <dc:rights><![CDATA[info:eu-repo/semantics/openAccess]]></dc:rights>
          <dc:subject><![CDATA[Linguistic complexity]]></dc:subject>
          <dc:subject><![CDATA[Crowdsourcing]]></dc:subject>
          <dc:subject><![CDATA[Human perception]]></dc:subject>
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