A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling

1 code implementation • ACL 2018 • Ying Lin, Shengqi Yang, Veselin Stoyanov, Heng Ji

We propose a multi-lingual multi-task architecture to develop supervised models with a minimal amount of labeled data for sequence labeling.

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