Pragmatic factors in image description: The case of negations
arXiv preprint arXiv:1606.06164, 2016•arxiv.org
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 K= 0.67. With this paper, we hope to open up a broader discussion of …
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 K= 0.67. With this paper, we hope to open up a broader discussion of …
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 K=0.67. With this paper, we hope to open up a broader discussion of subjective language in image descriptions.
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