<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="srivastava-khurana-2019-detecting">
    <titleInfo>
        <title>Detecting Aggression and Toxicity using a Multi Dimension Capsule Network</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Saurabh</namePart>
        <namePart type="family">Srivastava</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Prerna</namePart>
        <namePart type="family">Khurana</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2019-08</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Third Workshop on Abusive Language Online</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Sarah</namePart>
            <namePart type="given">T</namePart>
            <namePart type="family">Roberts</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Joel</namePart>
            <namePart type="family">Tetreault</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Vinodkumar</namePart>
            <namePart type="family">Prabhakaran</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Zeerak</namePart>
            <namePart type="family">Waseem</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Florence, Italy</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In the era of social media, hate speech, trolling and verbal abuse have become a common issue. We present an approach to automatically classify such statements, using a new deep learning architecture. Our model comprises of a Multi Dimension Capsule Network that generates the representation of sentences which we use for classification. We further provide an analysis of our model’s interpretation of such statements. We compare the results of our model with state-of-art classification algorithms and demonstrate our model’s ability. It also has the capability to handle comments that are written in both Hindi and English, which are provided in the TRAC dataset. We also compare results on Kaggle’s Toxic comment classification dataset.</abstract>
    <identifier type="citekey">srivastava-khurana-2019-detecting</identifier>
    <identifier type="doi">10.18653/v1/W19-3517</identifier>
    <location>
        <url>https://aclanthology.org/W19-3517</url>
    </location>
    <part>
        <date>2019-08</date>
        <extent unit="page">
            <start>157</start>
            <end>162</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Detecting Aggression and Toxicity using a Multi Dimension Capsule Network
%A Srivastava, Saurabh
%A Khurana, Prerna
%Y Roberts, Sarah T.
%Y Tetreault, Joel
%Y Prabhakaran, Vinodkumar
%Y Waseem, Zeerak
%S Proceedings of the Third Workshop on Abusive Language Online
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F srivastava-khurana-2019-detecting
%X In the era of social media, hate speech, trolling and verbal abuse have become a common issue. We present an approach to automatically classify such statements, using a new deep learning architecture. Our model comprises of a Multi Dimension Capsule Network that generates the representation of sentences which we use for classification. We further provide an analysis of our model’s interpretation of such statements. We compare the results of our model with state-of-art classification algorithms and demonstrate our model’s ability. It also has the capability to handle comments that are written in both Hindi and English, which are provided in the TRAC dataset. We also compare results on Kaggle’s Toxic comment classification dataset.
%R 10.18653/v1/W19-3517
%U https://aclanthology.org/W19-3517
%U https://doi.org/10.18653/v1/W19-3517
%P 157-162

Markdown (Informal)

[Detecting Aggression and Toxicity using a Multi Dimension Capsule Network](https://aclanthology.org/W19-3517) (Srivastava & Khurana, ALW 2019)

• Detecting Aggression and Toxicity using a Multi Dimension Capsule Network (Srivastava & Khurana, ALW 2019)

ACL

• Saurabh Srivastava and Prerna Khurana. 2019. Detecting Aggression and Toxicity using a Multi Dimension Capsule Network. In Proceedings of the Third Workshop on Abusive Language Online, pages 157–162, Florence, Italy. Association for Computational Linguistics.