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 K=0.67. With this paper, we hope to open up a broader discussion of subjective language in image descriptions.
- Publication:
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arXiv e-prints
- Pub Date:
- June 2016
- DOI:
- 10.48550/arXiv.1606.06164
- arXiv:
- arXiv:1606.06164
- Bibcode:
- 2016arXiv160606164V
- Keywords:
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- Computer Science - Computation and Language;
- Computer Science - Computer Vision and Pattern Recognition
- E-Print:
- Accepted as a short paper for the 5th Workshop on Vision and Language, collocated with ACL 2016, Berlin