Papers with multi-level adversarial transfer

1 papers
Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging (N19-1)

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Challenge: Low-resource language name tagging is an important but challenging task.
Approach: They propose a neural architecture that leverages multi-level adversarial transfer to improve name tagging for low-resource languages.
Outcome: The proposed approach outperforms previous approaches on CoNLL data sets.

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