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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/42273
Title: Ontological Approach to Image Captioning Evaluation
Authors: Shunkevich, D. V.
Iskra, N. A.
Шункевич, Д. В.
Искра, Н. А.
Keywords: публикации ученых
artificial intelligence
standardization semantic compatibility
Issue Date: 2020
Publisher: Springer, Швейцария
Citation: Shunkevich, D. Ontological Approach to Image Captioning Evaluation / D. Shunkevich, N. Iskra // Captioning Evaluation. Pattern Recognit. Image Anal. – 2020. – № 30. – P. 288–294. – DOI: https://doi.org/10.1134/s1054661820030256.
Abstract: The paper considers the ontology of the existing metrics widely used for image captioning task evaluation. It is shown how the ontological approach provides more natural and resilient way to image captioning quality assurance in comparison with machine translation metrics variations. Another important problem, discussed in the paper, is the information support for researchers in the field of image captioning.
URI: https://libeldoc.bsuir.by/handle/123456789/42273
Appears in Collections:Публикации в зарубежных изданиях

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