Unknown

Dataset Information

Constructing fine-grained entity recognition corpora based on clinical records of traditional Chinese medicine.


ABSTRACT:

Background

In this study, we focus on building a fine-grained entity annotation corpus with the corresponding annotation guideline of traditional Chinese medicine (TCM) clinical records. Our aim is to provide a basis for the fine-grained corpus construction of TCM clinical records in future.

Methods

We developed a four-step approach that is suitable for the construction of TCM medical records in our corpus. First, we determined the entity types included in this study through sample annotation. Then, we drafted a fine-grained annotation guideline by summarizing the characteristics of the dataset and referring to some existing guidelines. We iteratively updated the guidelines until the inter-annotator agreement (IAA) exceeded a Cohen's kappa value of 0.9. Comprehensive annotat

SUBMITTER: Zhang T 

PROVIDER: S-EPMC7132896 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature