Evaluating Multimodal Representations on Sentence Similarity: vSTS, Visual Semantic Textual Similarity Dataset
September 11, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Oier Lopez de Lacalle, Aitor Soroa, Eneko Agirre
arXiv ID
1809.03695
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
3
Venue
arXiv.org
Last Checked
5 months ago
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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