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    <titleInfo>
        <title>From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions</title>
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    <name type="personal">
        <namePart type="given">Peter</namePart>
        <namePart type="family">Young</namePart>
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    <name type="personal">
        <namePart type="given">Alice</namePart>
        <namePart type="family">Lai</namePart>
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    <name type="personal">
        <namePart type="given">Micah</namePart>
        <namePart type="family">Hodosh</namePart>
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    <name type="personal">
        <namePart type="given">Julia</namePart>
        <namePart type="family">Hockenmaier</namePart>
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    <abstract>We propose to use the visual denotations of linguistic expressions (i.e. the set of images they describe) to define novel denotational similarity metrics, which we show to be at least as beneficial as distributional similarities for two tasks that require semantic inference. To compute these denotational similarities, we construct a denotation graph, i.e. a subsumption hierarchy over constituents and their denotations, based on a large corpus of 30K images and 150K descriptive captions.</abstract>
    <identifier type="citekey">young-etal-2014-image</identifier>
    <identifier type="doi">10.1162/tacl_a_00166</identifier>
    <location>
        <url>https://aclanthology.org/Q14-1006</url>
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    <part>
        <date>2014</date>
        <detail type="volume"><number>2</number></detail>
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            <start>67</start>
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%0 Journal Article
%T From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
%A Young, Peter
%A Lai, Alice
%A Hodosh, Micah
%A Hockenmaier, Julia
%J Transactions of the Association for Computational Linguistics
%D 2014
%V 2
%I MIT Press
%C Cambridge, MA
%F young-etal-2014-image
%X We propose to use the visual denotations of linguistic expressions (i.e. the set of images they describe) to define novel denotational similarity metrics, which we show to be at least as beneficial as distributional similarities for two tasks that require semantic inference. To compute these denotational similarities, we construct a denotation graph, i.e. a subsumption hierarchy over constituents and their denotations, based on a large corpus of 30K images and 150K descriptive captions.
%R 10.1162/tacl_a_00166
%U https://aclanthology.org/Q14-1006
%U https://doi.org/10.1162/tacl_a_00166
%P 67-78

Markdown (Informal)

[From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions](https://aclanthology.org/Q14-1006) (Young et al., TACL 2014)

• From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions (Young et al., TACL 2014)

ACL

• Peter Young, Alice Lai, Micah Hodosh, and Julia Hockenmaier. 2014. From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions. Transactions of the Association for Computational Linguistics, 2:67–78.