Papers by Jose Luis Redondo Garcia

1 papers
Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study (2020.findings-emnlp)

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Challenge: Multilingual BERT (mBERT) has shown reasonable capability for zero-shot cross-lingual transfer when fine-tuned on downstream tasks.
Approach: They propose to use parallel corpora and rotational alignment methods to improve transfer performance in a zero-shot setting.
Outcome: The proposed method improves rotation-based alignment on Name Entity Recognition and Semantic Slot Filling tasks.

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