Buzhou Tang(汤步洲)
Buzhou Tang(汤步洲)
Jilin University, Harbin Insititute of Technology, Vanderbilt University, University of Texas
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The CHEMDNER corpus of chemicals and drugs and its annotation principles
M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ...
Journal of cheminformatics 7, 1-17, 2015
Drug-Drug Interaction Extraction via Convolutional Neural Networks
S Liu, B Tang, QC Wang, Xiaolong
Computational and Mathematical Methods in Medicine 2016 (Article ID 6918381 …, 2016
Lcqmc: A large-scale chinese question matching corpus
X Liu, Q Chen, C Deng, H Zeng, J Chen, D Li, B Tang
Proceedings of the 27th international conference on computational …, 2018
Entity recognition from clinical texts via recurrent neural network
Z Liu, M Yang, X Wang, Q Chen, B Tang, Z Wang, H Xu
BMC medical informatics and decision making 17, 53-61, 2017
Real-world data medical knowledge graph: construction and applications
L Li, P Wang, J Yan, Y Wang, S Li, J Jiang, Z Sun, B Tang, TH Chang, ...
Artificial intelligence in medicine 103, 101817, 2020
A comprehensive study of named entity recognition in Chinese clinical text
J Lei, B Tang, X Lu, K Gao, M Jiang, H Xu
Journal of the American Medical Informatics Association 21 (5), 808-814, 2014
De-identification of clinical notes via recurrent neural network and conditional random field
Z Liu, B Tang, X Wang, Q Chen
Journal of biomedical informatics 75, S34-S42, 2017
Evaluating word representation features in biomedical named entity recognition tasks
B Tang, H Cao, X Wang, Q Chen, H Xu
BioMed research international 2014 (1), 240403, 2014
A hybrid system for temporal information extraction from clinical text
B Tang, Y Wu, M Jiang, Y Chen, JC Denny, H Xu
Journal of the American Medical Informatics Association 20 (5), 828-835, 2013
Cblue: A chinese biomedical language understanding evaluation benchmark
N Zhang, M Chen, Z Bi, X Liang, L Li, X Shang, K Yin, C Tan, J Xu, ...
arXiv preprint arXiv:2106.08087, 2021
Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features
B Tang, H Cao, Y Wu, M Jiang, H Xu
BMC medical informatics and decision making 13, 1-10, 2013
CNN-based ranking for biomedical entity normalization
H Li, Q Chen, B Tang, X Wang, H Xu, B Wang, D Huang
BMC bioinformatics 18, 79-86, 2017
The bq corpus: A large-scale domain-specific chinese corpus for sentence semantic equivalence identification
J Chen, Q Chen, X Liu, H Yang, D Lu, B Tang
Proceedings of the 2018 conference on empirical methods in natural language …, 2018
Usability study of mainstream wearable fitness devices: feature analysis and system usability scale evaluation
J Liang, D Xian, X Liu, J Fu, X Zhang, B Tang, J Lei
JMIR mHealth and uHealth 6 (11), e11066, 2018
Automatic de-identification of electronic medical records using token-level and character-level conditional random fields
Z Liu, Y Chen, B Tang, X Wang, Q Chen, H Li, J Wang, Q Deng, S Zhu
Journal of biomedical informatics 58, S47-S52, 2015
Answer sequence learning with neural networks for answer selection in community question answering
X Zhou, B Hu, Q Chen, B Tang, X Wang
arXiv preprint arXiv:1506.06490, 2015
Effects of Semantic Features on Machine Learning-Based Drug Name Recognition Systems: Word Embeddings vs. Manually Constructed Dictionaries
S Liu, B Tang, Q Chen, X Wang
Information 6 (4), 848-865, 2015
A cascade method for detecting hedges and their scope in natural language text
B Tang, X Wang, X Wang, B Yuan, S Fan
Proceedings of the Fourteenth Conference on Computational Natural Language …, 2010
Prediction of protein binding sites in protein structures using hidden Markov support vector machine
B Liu, X Wang, L Lin, B Tang, Q Dong, X Wang
BMC bioinformatics 10, 1-14, 2009
Clinical entity recognition using structural support vector machines with rich features
B Tang, H Cao, Y Wu, M Jiang, H Xu
Proceedings of the ACM sixth international workshop on Data and text mining …, 2012
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