RadCoref: Fine-tuning coreference resolution for different styles of clinical narratives
收藏DataCite Commons2024-01-30 更新2024-07-13 收录
下载链接：
https://physionet.org/content/rad-coreference-resolution/
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资源简介：
RadCoref is a small subset of MIMIC-CXR with manually annotated coreference
mentions and clusters. The dataset is annotated by a panel of three cross-
disciplinary experts with experience in clinical data processing following the
i2b2 annotation scheme with minimum modification. The dataset consists of
Findings and Impression sections extracted from full radiology reports. The
dataset has 950, 25 and 200 section documents for training, validation, and
testing, respectively. The training and validation sets are annotated by one
annotator. The test set is annotated by two human annotators independently, of
which the results are merged manually by the third annotator. The dataset aims
to support the task of coreference resolution on radiology reports. Given that
the MIMIC-CXR has been de-identified already, no protected health information
(PHI) is included.
提供机构：
PhysioNet
创建时间：
2024-01-26
