Meizhi Ju
Meizhi Ju
Tencent Jarvis Lab
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A Neural Layered Model for Nested Named Entity Recognition
M Ju, M Miwa, S Ananiadou
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
An ensemble of neural models for nested adverse drug events and medication extraction with subwords
M Ju, NTH Nguyen, M Miwa, S Ananiadou
Journal of the American Medical Informatics Association, 2019
Improving reference prioritisation with PICO recognition
AJ Brockmeier, M Ju, P Przybyła, S Ananiadou
BMC Medical Informatics and Decision Making 19 (1), 1-14, 2019
A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience
M Shardlow, M Ju, M Li, C O’Reilly, E Iavarone, J McNaught, S Ananiadou
Neuroinformatics, 1-16, 2018
A finite-state automata based negation detection algorithm for chinese clinical documents
Z Jia, H Li, M Ju, Y Zhang, Z Huang, C Ge, H Duan
Progress in Informatics and Computing (PIC), 2014 International Conference …, 2014
Annotating and detecting phenotypic information for chronic obstructive pulmonary disease
M Ju, A Short, P Thompson, ND Bakerly, G Gkoutos, L Tsaprouni, ...
JAMIA Open, 2019
A CRF-based Method for Automatic Construction of Chinese Symptom Lexicon
M Ju, H Duan, H Li
Information Technology in Medicine and Education (ITME), 2015 7th …, 2015
Lexical Characteristics Analysis of Chinese Clinical Documents
M Ju, H Duan, H Li
Information Technology in Medicine and Education (ITME), 2015 7th …, 2015
Automatic Knowledge Extraction and Data Mining from Echo Reports of Pediatric Heart Disease: Application on Clinical Decision Support
Y Shi, Z Li, Z Jia, B Hu, M Ju, X Zhang, H Li
Chinese Computational Linguistics and Natural Language Processing Based on …, 2015
Development and evaluation of task-specific NLP framework in China.
C Ge, Y Zhang, Z Huang, Z Jia, M Ju, H Duan, H Li
Studies in health technology and informatics 216, 1031-1031, 2015
Using Task-specific Chinese Natural Language Processing Framework to Facilitate Clinical Decision Support System
YZ Caixia Ge, Z Huang, Z Jia, M Ju, H Duan, H Li
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