Overview of the ROCLING 2023 Shared Task for Chinese Multi-genre Named Entity Recognition in the Healthcare Domain

Lung Hao Lee, Tzu Mi Lin, Chao Yi Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This paper describes the ROCLING-2023 shared task for Chinese multi-genre named entity recognition in the healthcare domain, including task description, data preparation, performance metrics, and evaluation results. Among eight registered teams, six participating teams submitted a total of 16 runs. This shared task demonstrates current NLP techniques for dealing with Chinese named entity recognition in multi-genre texts. All data sets with gold standards and evaluation scripts used in this shared task are publicly available for future research.

Original languageEnglish
Title of host publicationROCLING 2023 - Proceedings of the 35th Conference on Computational Linguistics and Speech Processing
EditorsJheng-Long Wu, Ming-Hsiang Su, Hen-Hsen Huang, Yu Tsao, Hou-Chiang Tseng, Chia-Hui Chang, Lung-Hao Lee, Yuan-Fu Liao, Wei-Yun Ma
PublisherThe Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Pages332-337
Number of pages6
ISBN (Electronic)9789869576963
StatePublished - 2023
Event35th Conference on Computational Linguistics and Speech Processing, ROCLING 2023 - Taipei City, Taiwan
Duration: 20 Oct 202321 Oct 2023

Publication series

NameROCLING 2023 - Proceedings of the 35th Conference on Computational Linguistics and Speech Processing

Conference

Conference35th Conference on Computational Linguistics and Speech Processing, ROCLING 2023
Country/TerritoryTaiwan
CityTaipei City
Period20/10/2321/10/23

Keywords

  • Chinese language processing
  • health informatics
  • information extraction
  • named entity recognition

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