activity
20162019
most citedIncorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition

14 citations · 52 across the 16 of their papers we have counts for

collaborators

16 papers

cs.NE2019★ 2 cited

Variable Population Memetic Search: A Case Study on the Critical Node Problem

Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu +2

Population-based memetic algorithms have been successfully applied to solve many difficult combinatorial problems. Often, a population of fixed size was used in such algorithms to…

cs.CL2019

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…

cs.CL2019★ 1 cited

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…

cs.CL2019★ 14 cited

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…

cs.CL2019★ 1 cited

CBOWRA: A Representation Learning Approach for Medication Anomaly Detection

Liang Zhao, Zhiyuan Ma, Yangming Zhou +3

Electronic health record is an important source for clinical researches and applications, and errors inevitably occur in the data, which could lead to severe damages to both patien…

cs.CL2019★ 1 cited

Question Answering based Clinical Text Structuring Using Pre-trained Language Model

Jiahui Qiu, Yangming Zhou, Zhiyuan Ma +3

Clinical text structuring is a critical and fundamental task for clinical research. Traditional methods such as taskspecific end-to-end models and pipeline models usually suffer fr…