Overview of the ROCLING 2022 Shared Task for Chinese Healthcare Named Entity Recognition

Lung Hao Lee, Chao Yi Chen, Liang Chih Yu, Yuen Hsien Tseng

研究成果: Conference contribution同行評審

18 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing
編輯Yung-Chun Chang, Yi-Chin Huang, Jheng-Long Wu, Ming-Hsiang Su, Hen-Hsen Huang, Yi-Fen Liu, Lung-Hao Lee, Chin-Hung Chou, Yuan-Fu Liao
發行者The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
頁面363-368
頁數6
ISBN(電子)9789869576956
出版狀態Published - 2022
事件34th Conference on Computational Linguistics and Speech Processing, ROCLING 2022 - Taipei, 台灣
持續時間: 21 11月 202222 11月 2022

出版系列

名字ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing

Conference

Conference34th Conference on Computational Linguistics and Speech Processing, ROCLING 2022
國家/地區台灣
城市Taipei
期間21/11/2222/11/22

指紋

深入研究「Overview of the ROCLING 2022 Shared Task for Chinese Healthcare Named Entity Recognition」主題。共同形成了獨特的指紋。

引用此