<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="kehat-pustejovsky-2017-integrating">
    <titleInfo>
        <title>Integrating Vision and Language Datasets to Measure Word Concreteness</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Gitit</namePart>
        <namePart type="family">Kehat</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">James</namePart>
        <namePart type="family">Pustejovsky</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 and take advantage of the inherent visualizability properties of words in visual corpora (the textual components of vision-language datasets) to compute concreteness scores for words. Our simple method does not require hand-annotated concreteness score lists for training, and yields state-of-the-art results when evaluated against concreteness scores lists and previously derived scores, as well as when used for metaphor detection.</abstract>
    <identifier type="citekey">kehat-pustejovsky-2017-integrating</identifier>
    <location>
        <url>https://aclanthology.org/I17-2018</url>
    </location>
    <part>
        <date>2017-11</date>
        <extent unit="page">
            <start>103</start>
            <end>108</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Integrating Vision and Language Datasets to Measure Word Concreteness
%A Kehat, Gitit
%A Pustejovsky, James
%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 kehat-pustejovsky-2017-integrating
%X We present and take advantage of the inherent visualizability properties of words in visual corpora (the textual components of vision-language datasets) to compute concreteness scores for words. Our simple method does not require hand-annotated concreteness score lists for training, and yields state-of-the-art results when evaluated against concreteness scores lists and previously derived scores, as well as when used for metaphor detection.
%U https://aclanthology.org/I17-2018
%P 103-108

Markdown (Informal)

[Integrating Vision and Language Datasets to Measure Word Concreteness](https://aclanthology.org/I17-2018) (Kehat & Pustejovsky, IJCNLP 2017)

• Integrating Vision and Language Datasets to Measure Word Concreteness (Kehat & Pustejovsky, IJCNLP 2017)

ACL

• Gitit Kehat and James Pustejovsky. 2017. Integrating Vision and Language Datasets to Measure Word Concreteness. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 103–108, Taipei, Taiwan. Asian Federation of Natural Language Processing.