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<mods ID="la-pietra-masini-2020-oxymorons">
    <titleInfo>
        <title>Oxymorons: a preliminary corpus investigation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Marta</namePart>
        <namePart type="family">La Pietra</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Francesca</namePart>
        <namePart type="family">Masini</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020-jul</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Second Workshop on Figurative Language Processing</title>
        </titleInfo>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Online</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
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    <abstract>This paper contains a preliminary corpus study of oxymorons, a figure of speech so far under-investigated in NLP-oriented research. The study resulted in a list of 376 oxymorons, identified by extracting a set of antonymous pairs (under various configurations) from corpora of written Italian and by manually checking the results. A complementary method is also envisaged for discovering contextual oxymorons, which are highly relevant for the detection of humor, irony and sarcasm.</abstract>
    <identifier type="citekey">la-pietra-masini-2020-oxymorons</identifier>
    <location>
        <url>https://www.aclweb.org/anthology/2020.figlang-1.24</url>
    </location>
    <part>
        <date>2020-jul</date>
        <extent unit="page">
            <start>176</start>
            <end>185</end>
        </extent>
    </part>
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