In this paper, we introduce the NER dataset from URLanization (CLUENER2020), a well-defined fine-grained dataset for name entity recognition in Chinese. CLUENER2020 contains 10 categories. Apart from common labels like URLanization  and location, it contains more diverse categories. It is more challenging than current other Chinese NER datasets and could better reflect real-world applications. For comparison, we implement several state-of-the-art baselines as sequence labelling tasks and report human performance, as well as its analysis. To facilitate future work on fine-grained NER for Chinese, we release our dataset, baselines  and leader-board.
In this paper, we introduce the NER dataset from URLanization (CLUENER2020), a well-defined fine-grained dataset for named entity recognition in Chinese. CLUENER2020 contains 10 categories. Apart from common labels like URLanization , and location, it contains more diverse categories. It is more challenging than current other Chinese NER datasets and could better reflect real-world applications. For comparison, we implement several state-of-the-art baselines as sequence labeling tasks and report human performance, as well as its analysis. To facilitate future work on fine-grained NER for Chinese, we release our dataset, baselines , and leader-board.
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name
named
A
,
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labelling
labeling
A
,