Relation Extraction from Clinical Narratives Using Pre-trained Language Models. - Qiang Wei 002; Zongcheng Ji; Yuqi Si; Jingcheng Du; Jingqi Wang; Firat Tiryaki; Stephen Wu 004; Cui Tao; Kirk Roberts; Hua Xu 001 (AMIA, 2019)

Detect Attributes of Medical Concepts via Sequence Labeling. - Jun Xu 007; Zhiheng Li 004; Qiang Wei 002; Yonghui Wu; Yang Xiang 003; Hee-Jin Lee; Yaoyun Zhang; Stephen Wu 004; Hua Xu 001 (ICHI, 2019)

Cost-aware active learning for named entity recognition in clinical text. - Qiang Wei 002; Yukun Chen 001; Mandana Salimi; Joshua C. Denny; Qiaozhu Mei; Thomas A. Lasko; Qingxia Chen; Stephen Wu 004; Amy Franklin; Trevor Cohen; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2019)

Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text. - Jun Xu 007; Zhiheng Li 004; Qiang Wei 002; Yonghui Wu; Yang Xiang 003; Hee-Jin Lee; Yaoyun Zhang; Stephen Wu 004; Hua Xu 001 (BMC Medical Informatics Decis. Mak., 2019)

Morphology-rich Alphasyllabary Embeddings. - Amanuel Mersha; Stephen Wu 004 (LREC, 2020)

A study of deep learning approaches for medication and adverse drug event extraction from clinical text. - Qiang Wei 002; Zongcheng Ji; Zhiheng Li 004; Jingcheng Du; Jingqi Wang; Jun Xu 007; Yang Xiang 003; Firat Tiryaki; Stephen Wu 004; Yaoyun Zhang; Cui Tao; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2020)

Deep learning in clinical natural language processing: a methodical review. - Stephen Wu 004; Kirk Roberts; Surabhi Datta; Jingcheng Du; Zongcheng Ji; Yuqi Si; Sarvesh Soni; Qiong Wang; Qiang Wei 002; Yang Xiang 003; Bo Zhao 001; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2020)

A study of entity-linking methods for normalizing Chinese diagnosis and procedure terms to ICD codes. - Qiong Wang; Zongcheng Ji; Jingqi Wang; Stephen Wu 004; Weiyan Lin; Wenzhen Li; Li Ke; Guohong Xiao; Qing Jiang; Hua Xu 001; Yi Zhou 005 (J. Biomed. Informatics, 2020)

Detecting Misogyny in Arabic Tweets. - Abdusalam Nwesri; Stephen Wu 004; Harmain Harmain (FIRE (Working Notes), 2021)