Overview of CCKS 2020 Task 3: Named Entity Recognition and Event Extraction in Chinese Electronic Medical Records | Zendy

Xia Li | Zendy; Qinghua Wen | Zendy; Lin Hu | Zendy; Zengtao Jiao | Zendy; Jiangtao Zhang | Zendy

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Overview of CCKS 2020 Task 3: Named Entity Recognition and Event Extraction in Chinese Electronic Medical Records

Author(s) -

Xia Li,

Qinghua Wen,

Lin Hu,

Zengtao Jiao,

Jiangtao Zhang

Publication year - 2021

Publication title -

data intelligence

Language(s) - English

Resource type - Journals

eISSN - 2096-7004

pISSN - 2641-435X

DOI - 10.1162/dint_a_00093

Subject(s) - computer science , task (project management) , named entity recognition , natural language processing , event (particle physics) , information retrieval , artificial intelligence , information extraction , graph , annotation , data science , physics , management , theoretical computer science , quantum mechanics , economics

The China Conference on Knowledge Graph and Semantic Computing (CCKS) 2020 Evaluation Task 3 presented clinical named entity recognition and event extraction for the Chinese electronic medical records. Two annotated data sets and some other additional resources for these two subtasks were provided for participators. This evaluation competition attracted 354 teams and 46 of them successfully submitted the valid results. The pre-trained language models are widely applied in this evaluation task. Data argumentation and external resources are also helpful.

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