Papers with self-supervised extrofitting

1 papers
Self-supervised Post-processing Method to Enrich Pretrained Word Vectors (2023.findings-emnlp)

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Challenge: Existing methods that use external resources to make word vectors specialize depend on the lexicon.
Approach: They propose a self-supervised extension of extrofitting by its own word vector distribution.
Outcome: The proposed method improves word similarity embeddings on similarity tasks without external resources.

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