Papers by Takeru Matsuda

1 papers
Exploring Intra and Inter-language Consistency in Embeddings with ICA (2024.emnlp-main)

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Challenge: Existing studies have shown that ICA can reveal universal semantic axes across languages but lack verification of consistency of independent components within and across languages.
Approach: They propose to use independent component analysis to identify independent components that are more interpretable than PCA to find universal semantic axes.
Outcome: The proposed framework ensures the reliability and universality of semantic axes.

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