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    <titleInfo>
        <title>The Role of Computational Stylometry in Identifying (Misogynistic) Aggression in English Social Media Texts</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Antonio</namePart>
        <namePart type="family">Pascucci</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Raffaele</namePart>
        <namePart type="family">Manna</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Vincenzo</namePart>
        <namePart type="family">Masucci</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Johanna</namePart>
        <namePart type="family">Monti</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020-may</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <language>
        <languageTerm type="text">English</languageTerm>
        <languageTerm type="code" authority="iso639-2b">eng</languageTerm>
    </language>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying</title>
        </titleInfo>
        <originInfo>
            <publisher>European Language Resources Association (ELRA)</publisher>
            <place>
                <placeTerm type="text">Marseille, France</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-10-95546-56-6</identifier>
    </relatedItem>
    <abstract>In this paper, we describe UniOr_ExpSys team participation in TRAC-2 (Trolling, Aggression and Cyberbullying) shared task, a workshop organized as part of LREC 2020. TRAC-2 shared task is organized in two sub-tasks: Aggression Identification (a 3-way classification between “Overtly Aggressive”, “Covertly Aggressive” and “Non-aggressive” text data) and Misogynistic Aggression Identification (a binary classifier for classifying the texts as “gendered” or “non-gendered”). Our approach is based on linguistic rules, stylistic features extraction through stylometric analysis and Sequential Minimal Optimization algorithm in building the two classifiers.</abstract>
    <identifier type="citekey">pascucci-etal-2020-role</identifier>
    <location>
        <url>https://www.aclweb.org/anthology/2020.trac-1.11</url>
    </location>
    <part>
        <date>2020-may</date>
        <extent unit="page">
            <start>69</start>
            <end>75</end>
        </extent>
    </part>
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