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.
Original language | Undefined/Unknown |
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Title of host publication | Proceedings of the 5th Workshop on Vision and Language |
Number of pages | 6 |
Publication date | 2016 |
Pages | 54-59 |
Publication status | Published - 2016 |