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arXiv · 1809.03695

Evaluating Multimodal Representations on Sentence Similarity: vSTS, Visual Semantic Textual Similarity Dataset

Oier Lopez de Lacalle·Aitor Soroa·Eneko Agirre
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Abstract

In this paper we introduce vSTS, a new dataset for measuring textual similarity of sentences using multimodal information. The dataset is comprised by images along with its respectively textual captions. We describe the dataset both quantitatively and qualitatively, and claim that it is a valid gold standard for measuring automatic multimodal textual similarity systems. We also describe the initial experiments combining the multimodal information.

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Oier Lopez de Lacalle, Aitor Soroa, Eneko Agirre. 2018-09-11. Evaluating Multimodal Representations on Sentence Similarity: vSTS, Visual Semantic Textual Similarity Dataset. https://arxiv.org/abs/1809.03695

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