<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="yeung-lee-2017-identifying">
    <titleInfo>
        <title>Identifying Speakers and Listeners of Quoted Speech in Literary Works</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Chak</namePart>
        <namePart type="given">Yan</namePart>
        <namePart type="family">Yeung</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">John</namePart>
        <namePart type="family">Lee</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 2: Short 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 present the first study that evaluates both speaker and listener identification for direct speech in literary texts. Our approach consists of two steps: identification of speakers and listeners near the quotes, and dialogue chain segmentation. Evaluation results show that this approach outperforms a rule-based approach that is state-of-the-art on a corpus of literary texts.</abstract>
    <identifier type="citekey">yeung-lee-2017-identifying</identifier>
    <location>
        <url>https://aclanthology.org/I17-2055</url>
    </location>
    <part>
        <date>2017-11</date>
        <extent unit="page">
            <start>325</start>
            <end>329</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Identifying Speakers and Listeners of Quoted Speech in Literary Works
%A Yeung, Chak Yan
%A Lee, John
%Y Kondrak, Greg
%Y Watanabe, Taro
%S Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F yeung-lee-2017-identifying
%X We present the first study that evaluates both speaker and listener identification for direct speech in literary texts. Our approach consists of two steps: identification of speakers and listeners near the quotes, and dialogue chain segmentation. Evaluation results show that this approach outperforms a rule-based approach that is state-of-the-art on a corpus of literary texts.
%U https://aclanthology.org/I17-2055
%P 325-329

Markdown (Informal)

[Identifying Speakers and Listeners of Quoted Speech in Literary Works](https://aclanthology.org/I17-2055) (Yeung & Lee, IJCNLP 2017)

• Identifying Speakers and Listeners of Quoted Speech in Literary Works (Yeung & Lee, IJCNLP 2017)

ACL

• Chak Yan Yeung and John Lee. 2017. Identifying Speakers and Listeners of Quoted Speech in Literary Works. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 325–329, Taipei, Taiwan. Asian Federation of Natural Language Processing.