MasakhaNER

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Composable Sparse Fine-Tuning for Cross-Lingual Transfer

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractFine-tuning the entire set of parameters of a large pretrained model has become the mainstream approach for transfer learning. To increase its efficiency and prevent catastrophic forgetting and interference, techniques …...

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SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity Recognition

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractLarge multilingual language models generally demonstrate impressive results in zero-shot cross-lingual transfer, yet often fail to successfully transfer to low-resource languages, even for token-level prediction tasks like named entity recognition …...

30009