Lung-Hao Lee, Chao-Yi Chen, Liang-Chih Yu, and Yuen-Hsien Tseng.
In Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING’22), pages. 363-368.
Abstract
This paper describes the ROCLING-2022 shared task for Chinese healthcare named entity recognition, including task description, data preparation, performance metrics, and evaluation results. Among ten registered teams, seven participating teams submitted a total of 20 runs. This shared task reveals present NLP techniques for dealing with Chinese named entity recognition in the healthcare domain. All data sets with gold standards and evaluation scripts used in this shared task are publicly available for future research.