Corpus ID: 3647455

Preserved Structure Across Vector Space Representations

@article{Amatuni2018PreservedSA,
  title={Preserved Structure Across Vector Space Representations},
  author={Andrei Amatuni and Estelle He and Elika Bergelson},
  journal={ArXiv},
  year={2018},
  volume={abs/1802.00840}
}
Certain concepts, words, and images are intuitively more similar than others (dog vs. cat, dog vs. spoon), though quantifying such similarity is notoriously difficult. Indeed, this kind of computation is likely a critical part of learning the category boundaries for words within a given language. Here, we use a set of 27 items (e.g. 'dog') that are highly common in infants' input, and use both image- and word-based algorithms to independently compute similarity among them. We find three key… Expand

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