• Corpus ID: 7335121

Learning Multi-Modal Word Representation Grounded in Visual Context

@article{Zablocki2018LearningMW,
  title={Learning Multi-Modal Word Representation Grounded in Visual Context},
  author={{\'E}loi Zablocki and Benjamin Piwowarski and Laure Soulier and Patrick Gallinari},
  journal={ArXiv},
  year={2018},
  volume={abs/1711.03483}
}
Representing the semantics of words is a long-standing problem for the natural language processing community. Most methods compute word semantics given their textual context in large corpora. More recently, researchers attempted to integrate perceptual and visual features. Most of these works consider the visual appearance of objects to enhance word representations but they ignore the visual environment and context in which objects appear. We propose to unify text-based techniques with vision… 

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