Work

Pragmatic Factors in Image Description: The Case of Negations

Year: 2016

Type: conference-paper

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.

DOI: 10.18653/v1/w16-3207

Authors: Emiel van Miltenburg, Roser Morante, Desmond Elliott

Institutions: Vrije Universiteit Amsterdam, University of Amsterdam

Language: English

Topic: Multimodal Machine Learning Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funder: Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Award: G4423458288

OpenAlex ID: W2464060482