Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging

IJCNLP 2017 Boliang ZhangDi LuXiaoman PanYing LinHalidanmu AbudukelimuHeng JiKevin Knight

Current supervised name tagging approaches are inadequate for most low-resource languages due to the lack of annotated data and actionable linguistic knowledge. All supervised learning methods (including deep neural networks (DNN)) are sensitive to noise and thus they are not quite portable without massive clean annotations... (read more)

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