Pragmatic factors in image description: the case of negations

Emiel van Miltenburg; Roser Morante; Desmond Elliott

Pragmatic factors in image description: the case of negations

Emiel van Miltenburg, Roser Morante, Desmond Elliott

Abstract

We provide a qualitative analysis of the descriptions containing negations (no, not, n't, nobody, etc) in the Flickr30K corpus, and a categorization of negation uses. Based on this analysis, we provide a set of requirements that an image description system should have in order to generate negation sentences. As a pilot experiment, we used our categorization to manually annotate sentences containing negations in the Flickr30k corpus, with an agreement score of κ=0.67. With this paper, we hope to open up a broader discussion of subjective language in image descriptions.

Originalsprog	Udefineret/Ukendt
Titel	Proceedings of the 5th Workshop on Vision and Language
Antal sider	6
Publikationsdato	2016
Sider	54-59
Status	Udgivet - 2016

Citationsformater

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title = "Pragmatic factors in image description: the case of negations",

abstract = "We provide a qualitative analysis of the descriptions containing negations (no, not, n't, nobody, etc) in the Flickr30K corpus, and a categorization of negation uses. Based on this analysis, we provide a set of requirements that an image description system should have in order to generate negation sentences. As a pilot experiment, we used our categorization to manually annotate sentences containing negations in the Flickr30k corpus, with an agreement score of κ=0.67. With this paper, we hope to open up a broader discussion of subjective language in image descriptions.",

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AU - Elliott, Desmond

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N2 - We provide a qualitative analysis of the descriptions containing negations (no, not, n't, nobody, etc) in the Flickr30K corpus, and a categorization of negation uses. Based on this analysis, we provide a set of requirements that an image description system should have in order to generate negation sentences. As a pilot experiment, we used our categorization to manually annotate sentences containing negations in the Flickr30k corpus, with an agreement score of κ=0.67. With this paper, we hope to open up a broader discussion of subjective language in image descriptions.

AB - We provide a qualitative analysis of the descriptions containing negations (no, not, n't, nobody, etc) in the Flickr30K corpus, and a categorization of negation uses. Based on this analysis, we provide a set of requirements that an image description system should have in order to generate negation sentences. As a pilot experiment, we used our categorization to manually annotate sentences containing negations in the Flickr30k corpus, with an agreement score of κ=0.67. With this paper, we hope to open up a broader discussion of subjective language in image descriptions.

M3 - Konferencebidrag i proceedings

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EP - 59

BT - Proceedings of the 5th Workshop on Vision and Language

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