Pragmatic factors in image description: the case of negations
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Jun 2016.
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Citing papers per year: 2022: 2; 2023: 2; 2024: 0; 2025: 1.
5 papers.
- 2025Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challengescited by 31
- 2022Underspecification in Scene Description-to-Depiction Taskscited by 30
- 2023ANNA: Abstractive Text-to-Image Synthesis with Filtered News Captionscited by 5
- 2023A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptionscited by 2
- 2022Exploring Descriptions of Movement Through Geovisual Analyticscited by 0
- 2025Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges17 Feb 2025
- 2023A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions9 Feb 2023
- 2023ANNA: Abstractive Text-to-Image Synthesis with Filtered News Captions5 Jan 2023
- 2022Underspecification in Scene Description-to-Depiction Tasks11 Oct 2022
- 2022Exploring Descriptions of Movement Through Geovisual Analytics1 Mar 2022