<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="ferracane-etal-2017-leveraging">
    <titleInfo>
        <title>Leveraging Discourse Information Effectively for Authorship Attribution</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Elisa</namePart>
        <namePart type="family">Ferracane</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Su</namePart>
        <namePart type="family">Wang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Raymond</namePart>
        <namePart type="family">Mooney</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2017-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Greg</namePart>
            <namePart type="family">Kondrak</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Taro</namePart>
            <namePart type="family">Watanabe</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Asian Federation of Natural Language Processing</publisher>
            <place>
                <placeTerm type="text">Taipei, Taiwan</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We explore techniques to maximize the effectiveness of discourse information in the task of authorship attribution. We present a novel method to embed discourse features in a Convolutional Neural Network text classifier, which achieves a state-of-the-art result by a significant margin. We empirically investigate several featurization methods to understand the conditions under which discourse features contribute non-trivial performance gains, and analyze discourse embeddings.</abstract>
    <identifier type="citekey">ferracane-etal-2017-leveraging</identifier>
    <location>
        <url>https://aclanthology.org/I17-1059</url>
    </location>
    <part>
        <date>2017-11</date>
        <extent unit="page">
            <start>584</start>
            <end>593</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Leveraging Discourse Information Effectively for Authorship Attribution
%A Ferracane, Elisa
%A Wang, Su
%A Mooney, Raymond
%Y Kondrak, Greg
%Y Watanabe, Taro
%S Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F ferracane-etal-2017-leveraging
%X We explore techniques to maximize the effectiveness of discourse information in the task of authorship attribution. We present a novel method to embed discourse features in a Convolutional Neural Network text classifier, which achieves a state-of-the-art result by a significant margin. We empirically investigate several featurization methods to understand the conditions under which discourse features contribute non-trivial performance gains, and analyze discourse embeddings.
%U https://aclanthology.org/I17-1059
%P 584-593

Markdown (Informal)

[Leveraging Discourse Information Effectively for Authorship Attribution](https://aclanthology.org/I17-1059) (Ferracane et al., IJCNLP 2017)

• Leveraging Discourse Information Effectively for Authorship Attribution (Ferracane et al., IJCNLP 2017)

ACL

• Elisa Ferracane, Su Wang, and Raymond Mooney. 2017. Leveraging Discourse Information Effectively for Authorship Attribution. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 584–593, Taipei, Taiwan. Asian Federation of Natural Language Processing.