5 papers · 1 filter
Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network
Jiaying Zhang, Zhixing Zhang, Huanhuan Zhang +3
Enriching existing medical terminology knowledge bases (KBs) is an important and never-ending work for clinical research because new terminology alias may be continually added and…
NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs
Tingting Cai, Zhiyuan Ma, Hong Zheng +1
Electronic Health Records (EHRs) in hospital information systems contain patients' diagnosis and treatments, so EHRs are essential to clinical data mining. Of all the tasks in the…
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text
Kui Xue, Yangming Zhou, Zhiyuan Ma +3
Entity and relation extraction is the necessary step in structuring medical text. However, the feature extraction ability of the bidirectional long short term memory network in the…
An attention-based Bi-GRU-CapsNet model for hypernymy detection between compound entities
Qi Wang, Chenming Xu, Yangming Zhou +3
Named entities are usually composable and extensible. Typical examples are names of symptoms and diseases in medical areas. To distinguish these entities from general entities, we…
Incorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition
Qi Wang, Yuhang Xia, Yangming Zhou +3
Clinical Named Entity Recognition (CNER) aims to identify and classify clinical terms such as diseases, symptoms, treatments, exams, and body parts in electronic health records, wh…