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Poster.vsts_.clvl201 7.pdf

poster.vsts_.clvl2017.pdf
Preview of poster.vsts_.clvl201 7.pdf
🔗 Source: ixa.si.ehu.eus
📊 Size: 1.1 MB
👤 Author: Oier Lopez de Lacalle, Eneko Agirre and Aitor Soroa
⬇️ Downloads: 185

Summary

Researchers evaluated multimodal representations on sentence similarity using the Visual Semantic Textual Similarity (vSTS) dataset, which consists of 819 caption pairs annotated for similarity. The study confirmed two hypotheses: images alone can predict caption similarity, and combining image and text representations improves results. Experiments showed that a decompositional attention model (dam) achieved the highest Pearson correlation, and combining dam with a pretrained resnet50 model (resnet50) obtained the best results. The study indicates that visual information helps improve text understanding and inference.

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Researchers evaluated multimodal representations on sentence similarity using the Visual Semantic Textual Similarity (vSTS) dataset, which consists of 819...

Technical Information

  • File Format: PDF
  • File Size: 1.1 MB
  • Pages: 1
  • Language: EN
  • Author: Oier Lopez de Lacalle, Eneko Agirre and Aitor Soroa
  • Total Downloads: 185
  • Last Updated: 3 weeks ago

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