CLUENER2020 contains 10 categories. Apart from common labels like person, organization, and location, it contains more diverse categories. It is more challenging than current other Chinese NER datasets and could better reflect real-world applications.
Jan 13, 2020
CLUENER2020 is a well-defined fine-grained dataset for named entity recognition in Chinese. CLUENER2020 contains 10 categories.
In this paper, we introduce the NER dataset from CLUE organization (CLUENER2020), a well- defined fine-grained dataset for named entity recognition in ...
PDF | In this paper, we introduce the NER dataset from CLUE organization (CLUENER2020), a well-defined fine-grained dataset for name entity recognition.
Jan 13, 2020 · The NER dataset from CLUE organization (CLUENER2020) is introduced, a well-defined fine-grained dataset for named entity recognition in ...
CLUENER2020: Fine-grained Named Entity Recognition Dataset ... - Bytez
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In this paper, we introduce the NER dataset from CLUE organization (CLUENER2020), a well-defined fine-grained dataset for named entity recognition in ...
CLUENER2020 中文细粒度命名实体识别Fine Grained Named Entity Recognition - CLUEbenchmark/CLUENER2020.
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CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese. ... Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese ...
This paper uses two fine-grained Chinese entity recognition datasets, namely, the CLUENER2020 and Weibo datasets. CLUENER2020 [32] is a Chinese fine-grained ...
Jan 13, 2020 · The NER dataset from CLUE organization (CLUENER2020), a well-defined fine-grained dataset for name entity recognition in Chinese, ...