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    <titleInfo>
        <title>Entropy as a Proxy for Gap Complexity in Open Cloze Tests</title>
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    <name type="personal">
        <namePart type="given">Mariano</namePart>
        <namePart type="family">Felice</namePart>
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    <name type="personal">
        <namePart type="given">Paula</namePart>
        <namePart type="family">Buttery</namePart>
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        <dateIssued>2019-09</dateIssued>
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            <title>Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)</title>
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        <name type="personal">
            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
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        <name type="personal">
            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <publisher>INCOMA Ltd.</publisher>
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    <abstract>This paper presents a pilot study of entropy as a measure of gap complexity in open cloze tests aimed at learners of English. Entropy is used to quantify the information content in each gap, which can be used to estimate complexity. Our study shows that average gap entropy correlates positively with proficiency levels while individual gap entropy can capture contextual complexity. To the best of our knowledge, this is the first unsupervised information-theoretical approach to evaluating the quality of cloze tests.</abstract>
    <identifier type="citekey">felice-buttery-2019-entropy</identifier>
    <identifier type="doi">10.26615/978-954-452-056-4_037</identifier>
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        <url>https://aclanthology.org/R19-1037</url>
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        <date>2019-09</date>
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%0 Conference Proceedings
%T Entropy as a Proxy for Gap Complexity in Open Cloze Tests
%A Felice, Mariano
%A Buttery, Paula
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
%D 2019
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F felice-buttery-2019-entropy
%X This paper presents a pilot study of entropy as a measure of gap complexity in open cloze tests aimed at learners of English. Entropy is used to quantify the information content in each gap, which can be used to estimate complexity. Our study shows that average gap entropy correlates positively with proficiency levels while individual gap entropy can capture contextual complexity. To the best of our knowledge, this is the first unsupervised information-theoretical approach to evaluating the quality of cloze tests.
%R 10.26615/978-954-452-056-4_037
%U https://aclanthology.org/R19-1037
%U https://doi.org/10.26615/978-954-452-056-4_037
%P 323-327

Markdown (Informal)

[Entropy as a Proxy for Gap Complexity in Open Cloze Tests](https://aclanthology.org/R19-1037) (Felice & Buttery, RANLP 2019)

• Entropy as a Proxy for Gap Complexity in Open Cloze Tests (Felice & Buttery, RANLP 2019)

ACL

• Mariano Felice and Paula Buttery. 2019. Entropy as a Proxy for Gap Complexity in Open Cloze Tests. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 323–327, Varna, Bulgaria. INCOMA Ltd..