<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="chiril-etal-2019-multilingual">
    <titleInfo>
        <title>Multilingual and Multitarget Hate Speech Detection in Tweets</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Patricia</namePart>
        <namePart type="family">Chiril</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Farah</namePart>
        <namePart type="family">Benamara Zitoune</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Véronique</namePart>
        <namePart type="family">Moriceau</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Marlène</namePart>
        <namePart type="family">Coulomb-Gully</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Abhishek</namePart>
        <namePart type="family">Kumar</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2019-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume II : Articles courts</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Emmanuel</namePart>
            <namePart type="family">Morin</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Sophie</namePart>
            <namePart type="family">Rosset</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Pierre</namePart>
            <namePart type="family">Zweigenbaum</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>ATALA</publisher>
            <place>
                <placeTerm type="text">Toulouse, France</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Social media networks have become a space where users are free to relate their opinions and sentiments which may lead to a large spreading of hatred or abusive messages which have to be moderated. This paper proposes a supervised approach to hate speech detection from a multilingual perspective. We focus in particular on hateful messages towards two different targets (immigrants and women) in English tweets, as well as sexist messages in both English and French. Several models have been developed ranging from feature-engineering approaches to neural ones. Our experiments show very encouraging results on both languages.</abstract>
    <identifier type="citekey">chiril-etal-2019-multilingual</identifier>
    <location>
        <url>https://aclanthology.org/2019.jeptalnrecital-court.21</url>
    </location>
    <part>
        <date>2019-7</date>
        <extent unit="page">
            <start>351</start>
            <end>360</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Multilingual and Multitarget Hate Speech Detection in Tweets
%A Chiril, Patricia
%A Benamara Zitoune, Farah
%A Moriceau, Véronique
%A Coulomb-Gully, Marlène
%A Kumar, Abhishek
%Y Morin, Emmanuel
%Y Rosset, Sophie
%Y Zweigenbaum, Pierre
%S Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume II : Articles courts
%D 2019
%8 July
%I ATALA
%C Toulouse, France
%F chiril-etal-2019-multilingual
%X Social media networks have become a space where users are free to relate their opinions and sentiments which may lead to a large spreading of hatred or abusive messages which have to be moderated. This paper proposes a supervised approach to hate speech detection from a multilingual perspective. We focus in particular on hateful messages towards two different targets (immigrants and women) in English tweets, as well as sexist messages in both English and French. Several models have been developed ranging from feature-engineering approaches to neural ones. Our experiments show very encouraging results on both languages.
%U https://aclanthology.org/2019.jeptalnrecital-court.21
%P 351-360

Markdown (Informal)

[Multilingual and Multitarget Hate Speech Detection in Tweets](https://aclanthology.org/2019.jeptalnrecital-court.21) (Chiril et al., JEP/TALN/RECITAL 2019)

• Multilingual and Multitarget Hate Speech Detection in Tweets (Chiril et al., JEP/TALN/RECITAL 2019)

ACL

• Patricia Chiril, Farah Benamara Zitoune, Véronique Moriceau, Marlène Coulomb-Gully, and Abhishek Kumar. 2019. Multilingual and Multitarget Hate Speech Detection in Tweets. In Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume II : Articles courts, pages 351–360, Toulouse, France. ATALA.