Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection. - Shaodian Zhang; Hai Zhao 001; Guodong Zhou; Bao-Liang Lu (CoNLL Shared Task, 2010)

Recognizing Named Entities in Tweets. - Xiaohua Liu; Shaodian Zhang; Furu Wei; Ming Zhou 001 (ACL, 2011)

Unsupervised biomedical named entity recognition: Experiments with clinical and biological texts. - Shaodian Zhang; Noemie Elhadad (J. Biomed. Informatics, 2013)

Named entity recognition for tweets. - Xiaohua Liu; Furu Wei; Shaodian Zhang; Ming Zhou 001 (ACM Trans. Intell. Syst. Technol., 2013)

Characterizing the Sublanguage of Online Breast Cancer Forums for Medications, Symptoms, and Emotions. - Noémie Elhadad; Shaodian Zhang; Patricia Driscoll; Samuel Brody (AMIA, 2014)

Does Sustained Participation in an Online Health Community Affect Sentiment? - Shaodian Zhang; Erin O'Carroll Bantum; Jason E. Owen; Noemie Elhadad (AMIA, 2014)

Factors Contributing to Dropping-out in an Online Health Community: Static and Longitudinal Analyses. - Shaodian Zhang; Noemie Elhadad (AMIA, 2016)

Speculation detection for Chinese clinical notes: Impacts of word segmentation and embedding models. - Shaodian Zhang; Tian Kang; Xingting Zhang; Dong Wen 003; Noémie Elhadad; Jianbo Lei (J. Biomed. Informatics, 2016)

Cataloguing Treatments Discussed and Used in Online Autism Communities. - Shaodian Zhang; Tian Kang; Lin Qiu; Weinan Zhang 001; Yong Yu 001; Noémie Elhadad (WWW, 2017)

We Make Choices We Think are Going to Save Us: Debate and Stance Identification for Online Breast Cancer CAM Discussions. - Shaodian Zhang; Lin Qiu; Frank Chen; Weinan Zhang 001; Yong Yu 001; Noémie Elhadad (WWW (Companion Volume), 2017)

Detecting negation and scope in Chinese clinical notes using character and word embedding. - Tian Kang; Shaodian Zhang; Nanfang Xu; Dong Wen 003; Xingting Zhang; Jianbo Lei (Comput. Methods Programs Biomed., 2017)

EliIE: An open-source information extraction system for clinical trial eligibility criteria. - Tian Kang; Shaodian Zhang; Youlan Tang; Gregory William Hruby; Alexander Rusanov; Noémie Elhadad; Chunhua Weng (J. Am. Medical Informatics Assoc., 2017)

Online cancer communities as informatics intervention for social support: conceptualization, characterization, and impact. - Shaodian Zhang; Erin O'Carroll Bantum; Jason E. Owen; Suzanne Bakken; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2017)

A cascaded approach for Chinese clinical text de-identification with less annotation effort. - Zhe Jian; Xusheng Guo; Shijian Liu; Handong Ma; Shaodian Zhang; Rui Zhang 028; Jianbo Lei (J. Biomed. Informatics, 2017)

Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks. - Shaodian Zhang; Edouard Grave; Elizabeth Sklar; Noémie Elhadad (J. Biomed. Informatics, 2017)

Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical Text. - Junjie Xing; Kenny Q. Zhu; Shaodian Zhang (COLING, 2018)

Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. - Zhenghui Wang; Yanru Qu; Liheng Chen; Jian Shen 003; Weinan Zhang 001; Shaodian Zhang; Yimei Gao; Gen Gu; Ken Chen; Yong Yu 001 (NAACL-HLT, 2018)

TGE-PS: Text-driven Graph Embedding with Pairs Sampling. - Liheng Chen; Yanru Qu; Zhenghui Wang; Lin Qiu; Weinan Zhang 001; Ken Chen; Shaodian Zhang; Yong Yu 001 (CoRR, 2018)

Sampled in Pairs and Driven by Text: A New Graph Embedding Framework. - Liheng Chen; Yanru Qu; Zhenghui Wang; Lin Qiu; Weinan Zhang 001; Ken Chen; Shaodian Zhang; Yong Yu 001 (WWW, 2019)

Detection of medical text semantic similarity based on convolutional neural network. - Tao Zheng; Yimei Gao; Fei Wang; Chenhao Fan; Xingzhi Fu; Mei Li; Ya Zhang 002; Shaodian Zhang; Handong Ma (BMC Medical Informatics Decis. Mak., 2019)

A novel hierarchical machine learning model for hospital-acquired venous thromboembolism risk assessment among multiple-departments. - Handong Ma; Wenbo Sheng; Jiyu Li; Lengchen Hou; Jiafang Yang; Junjie Cai; Wenxiang Xu; Shaodian Zhang (J. Biomed. Informatics, 2021)

Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment. - Handong Ma; Jiahang Cao; Yuchen Fang; Weinan Zhang 001; Wenbo Sheng; Shaodian Zhang; Yong Yu 001 (KDD, 2022)

A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data. - Handong Ma; Zhecheng Dong; Mingcheng Chen; Wenbo Sheng; Yao Li; Weinan Zhang 001; Shaodian Zhang; Yong Yu 001 (J. Biomed. Informatics, 2022)