当前位置:
X-MOL 学术
›
arXiv.cs.IR
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese
arXiv - CS - Information Retrieval Pub Date : 2020-01-13 , DOI: arxiv-2001.04351 Liang Xu, Yu tong, Qianqian Dong, Yixuan Liao, Cong Yu, Yin Tian, Weitang Liu, Lu Li, Caiquan Liu, Xuanwei Zhang
arXiv - CS - Information Retrieval Pub Date : 2020-01-13 , DOI: arxiv-2001.04351 Liang Xu, Yu tong, Qianqian Dong, Yixuan Liao, Cong Yu, Yin Tian, Weitang Liu, Lu Li, Caiquan Liu, Xuanwei Zhang
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.
更新日期:2020-01-22