Recognizing named entities in tweets X Liu, S Zhang, F Wei, M Zhou Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 428 | 2011 |
Unsupervised biomedical named entity recognition: Experiments with clinical and biological texts S Zhang, N Elhadad Journal of biomedical informatics 46 (6), 1088-1098, 2013 | 117 | 2013 |
Named entity recognition for tweets X Liu, F Wei, S Zhang, M Zhou ACM Transactions on Intelligent Systems and Technology (TIST) 4 (1), 3, 2013 | 57 | 2013 |
Online cancer communities as informatics intervention for social support: conceptualization, characterization, and impact S Zhang, E O’Carroll Bantum, J Owen, S Bakken, N Elhadad Journal of the American Medical Informatics Association 24 (2), 451-459, 2017 | 48 | 2017 |
Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks S Zhang, E Grave, E Sklar, N Elhadad Journal of biomedical informatics 69, 1-9, 2017 | 26 | 2017 |
Characterizing the sublanguage of online breast cancer forums for medications, symptoms, and emotions N Elhadad, S Zhang, P Driscoll, S Brody AMIA Annual Symposium Proceedings 2014, 516, 2014 | 24 | 2014 |
EliIE: An open-source information extraction system for clinical trial eligibility criteria T Kang, S Zhang, Y Tang, GW Hruby, A Rusanov, N Elhadad, C Weng Journal of the American Medical Informatics Association 24 (6), 1062-1071, 2017 | 21 | 2017 |
Does sustained participation in an online health community affect sentiment? S Zhang, E Bantum, J Owen, N Elhadad AMIA Annual Symposium Proceedings 2014, 1970, 2014 | 20 | 2014 |
Speculation detection for Chinese clinical notes: Impacts of word segmentation and embedding models S Zhang, T Kang, X Zhang, D Wen, N Elhadad, J Lei Journal of biomedical informatics 60, 334-341, 2016 | 19 | 2016 |
Label-aware double transfer learning for cross-specialty medical named entity recognition Z Wang, Y Qu, L Chen, J Shen, W Zhang, S Zhang, Y Gao, G Gu, K Chen, ... arXiv preprint arXiv:1804.09021, 2018 | 11 | 2018 |
Detecting negation and scope in Chinese clinical notes using character and word embedding T Kang, S Zhang, N Xu, D Wen, X Zhang, J Lei Computer methods and programs in biomedicine 140, 53-59, 2017 | 10 | 2017 |
Hedge detection and scope finding by sequence labeling with normalized feature selection S Zhang, H Zhao, G Zhou, BL Lu Proceedings of the Fourteenth Conference on Computational Natural Language …, 2010 | 9 | 2010 |
We make choices we think are going to save us: Debate and stance identification for online breast cancer CAM discussions S Zhang, L Qiu, F Chen, W Zhang, Y Yu, N Elhadad Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 7 | 2017 |
Cataloguing treatments discussed and used in online autism communities S Zhang, T Kang, L Qiu, W Zhang, Y Yu, N Elhadad Proceedings of the 26th International Conference on World Wide Web, 123-131, 2017 | 4 | 2017 |
Factors contributing to dropping-out in an online health community: static and longitudinal analyses S Zhang, N Elhadad Amia Annual Symposium Proceedings 2016, 2090, 2016 | 4 | 2016 |
A cascaded approach for Chinese clinical text de-identification with less annotation effort Z Jian, X Guo, S Liu, H Ma, S Zhang, R Zhang, J Lei Journal of biomedical informatics 73, 76-83, 2017 | 3 | 2017 |
Machine learning for identifying emotional expression in text: Improving the accuracy of established methods EOC Bantum, N Elhadad, JE Owen, S Zhang, M Golant, J Buzaglo, ... Journal of Technology in Behavioral Science 2 (1), 21-27, 2017 | 3 | 2017 |
Detection of medical text semantic similarity based on convolutional neural network T Zheng, Y Gao, F Wang, C Fan, X Fu, M Li, Y Zhang, S Zhang, H Ma BMC medical informatics and decision making 19 (1), 156, 2019 | | 2019 |
Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach G Gu, X Zhang, X Zhu, Z Jian, K Chen, D Wen, L Gao, S Zhang, F Wang, ... JMIR medical informatics 7 (2), e12704, 2019 | | 2019 |