Papers by Jong-Ryul Lee

1 papers
Block-wise Word Embedding Compression Revisited: Better Weighting and Structuring (2021.findings-emnlp)

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Challenge: Existing methods for word embedding compression are limited . word embeds have a considerable size and need to be compressed to deploy on edge devices .
Approach: They propose a block-wise low-rank approximation method for word embedding called GroupReduce . they propose 'frequency-inverse document frequency method' and a differentiable method for weighting .
Outcome: The proposed algorithm more effectively finds word weights than competitors in most cases.

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