Papers by Chian-Yu Chen

1 papers
Choosing Transfer Languages for Cross-Lingual Learning (P19-1)

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Challenge: Cross-lingual transfer is a useful tool for improving performance of natural language processing (NLP) on low-resource languages.
Approach: They propose to use cross-lingual transfer to improve accuracy of low-resource languages . they build models that consider features to perform prediction on such languages based on ranking problem .
Outcome: The proposed model predicts good transfer languages much better than baselines considering single features in isolation.

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