<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="clausen-nastase-2019-metaphors">
    <titleInfo>
        <title>Metaphors in Text Simplification: To change or not to change, that is the question</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Yulia</namePart>
        <namePart type="family">Clausen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Vivi</namePart>
        <namePart type="family">Nastase</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 Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Helen</namePart>
            <namePart type="family">Yannakoudakis</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Ekaterina</namePart>
            <namePart type="family">Kochmar</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Claudia</namePart>
            <namePart type="family">Leacock</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Nitin</namePart>
            <namePart type="family">Madnani</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Ildikó</namePart>
            <namePart type="family">Pilán</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Torsten</namePart>
            <namePart type="family">Zesch</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>We present an analysis of metaphors in news text simplification. Using features that capture general and metaphor specific characteristics, we test whether we can automatically identify which metaphors will be changed or preserved, and whether there are features that have different predictive power for metaphors or literal words. The experiments show that the Age of Acquisition is the most distinctive feature for both metaphors and literal words. Features that capture Imageability and Concreteness are useful when used alone, but within the full set of features they lose their impact. Frequency of use seems to be the best feature to differentiate metaphors that should be changed and those to be preserved.</abstract>
    <identifier type="citekey">clausen-nastase-2019-metaphors</identifier>
    <identifier type="doi">10.18653/v1/W19-4444</identifier>
    <location>
        <url>https://aclanthology.org/W19-4444</url>
    </location>
    <part>
        <date>2019-08</date>
        <extent unit="page">
            <start>423</start>
            <end>434</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Metaphors in Text Simplification: To change or not to change, that is the question
%A Clausen, Yulia
%A Nastase, Vivi
%Y Yannakoudakis, Helen
%Y Kochmar, Ekaterina
%Y Leacock, Claudia
%Y Madnani, Nitin
%Y Pilán, Ildikó
%Y Zesch, Torsten
%S Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F clausen-nastase-2019-metaphors
%X We present an analysis of metaphors in news text simplification. Using features that capture general and metaphor specific characteristics, we test whether we can automatically identify which metaphors will be changed or preserved, and whether there are features that have different predictive power for metaphors or literal words. The experiments show that the Age of Acquisition is the most distinctive feature for both metaphors and literal words. Features that capture Imageability and Concreteness are useful when used alone, but within the full set of features they lose their impact. Frequency of use seems to be the best feature to differentiate metaphors that should be changed and those to be preserved.
%R 10.18653/v1/W19-4444
%U https://aclanthology.org/W19-4444
%U https://doi.org/10.18653/v1/W19-4444
%P 423-434

Markdown (Informal)

[Metaphors in Text Simplification: To change or not to change, that is the question](https://aclanthology.org/W19-4444) (Clausen & Nastase, BEA 2019)

• Metaphors in Text Simplification: To change or not to change, that is the question (Clausen & Nastase, BEA 2019)

ACL

• Yulia Clausen and Vivi Nastase. 2019. Metaphors in Text Simplification: To change or not to change, that is the question. In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 423–434, Florence, Italy. Association for Computational Linguistics.