Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations

EMNLP 2019 Zuyi BaoRui HuangChen LiKenny Q. Zhu

Previous work on cross-lingual sequence labeling tasks either requires parallel data or bridges the two languages through word-byword matching. Such requirements and assumptions are infeasible for most languages, especially for languages with large linguistic distances, e.g., English and Chinese... (read more)

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