CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese

Code

• github.com/CLUEbenchmark/CLUENER2020
  OfficialIn paperpytorch★ 1,523
• github.com/RRRicky-Chao/clueNERtf_bert_wwm_nlpGroup1
  tf★ 3
• github.com/uloveqian2021/NER
  tf★ 1

Abstract

In this paper, we introduce the NER dataset from CLUE organization (CLUENER2020), a well-defined fine-grained dataset for named entity recognition in Chinese. 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. 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.

Tasks

Reproductions