Cross-lingual fine-tuning of pre-trained LMs yields significant gains on small gold Indonesian NER and competitive results on large silver data versus monolingual LM or POS transfer.
In: Proceed- ings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User- generated Text
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Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER
Cross-lingual fine-tuning of pre-trained LMs yields significant gains on small gold Indonesian NER and competitive results on large silver data versus monolingual LM or POS transfer.