Buzhou Tang(汤步洲)
Buzhou Tang(汤步洲)
Jilin University, Harbin Insititute of Technology, Vanderbilt University, University of Texas
Verified email at hit.edu.cn
Cited by
Cited by
Evaluating word representation features in biomedical named entity recognition tasks
B Tang, H Cao, X Wang, Q Chen, H Xu
BioMed research international 2014, 2014
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), 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
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
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
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), S1, 2013
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 (2), 67, 2017
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
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
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
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), 381, 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
UTH_CCB: A Report for SemEval 2014–Task 7 Analysis of Clinical Text
HX Yaoyun Zhang,Jingqi Wang, Buzhou Tang, Min Jiang, Yonghui Wu, Yukun Chen
Overlapping community detection in networks with positive and negative links
Y Chen, XL Wang, B Yuan, BZ Tang
Journal of Statistical Mechanics: Theory and Experiment 2014 (3), P03021, 2014
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
Recognizing and Encoding Disorder Concepts in Clinical Text using Machine Learning and Vector Space Model
B Tang, Y Wu, M Jiang, JC Denny, H Xu
CNN-based ranking for biomedical entity normalization
H Li, Q Chen, B Tang, X Wang, H Xu, B Wang, D Huang
BMC bioinformatics 18 (11), 79-86, 2017
A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature
B Tang, Y Feng, X Wang, Y Wu, Y Zhang, M Jiang, J Wang, H Xu
Journal of cheminformatics 7 (S1), S8, 2015
Dependency-based convolutional neural network for drug-drug interaction extraction
S Liu, K Chen, Q Chen, B Tang
2016 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2016
The system can't perform the operation now. Try again later.
Articles 1–20