Fei Li
Fei Li
Wuhan University; University of Massachusetts
Verified email at whu.edu.cn
Cited by
Cited by
A neural joint model for entity and relation extraction from biomedical text
F Li, M Zhang, G Fu, D Ji
BMC bioinformatics 18 (1), 198, 2017
A transition-based joint model for disease named entity recognition and normalization
Y Lou, Y Zhang, T Qian, F Li, S Xiong, D Ji
Bioinformatics 33 (15), 2363-2371, 2017
Joint Models for Extracting Adverse Drug Events from Biomedical Text
F Li, Y Zhang, M Zhang, D Ji
Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016
Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning.
F Li, W Liu, H Yu
JMIR Medical Informatics 6 (4), e12159, 2018
Recognizing irregular entities in biomedical text via deep neural networks
F Li, M Zhang, B Tian, B Chen, G Fu, D Ji
Pattern Recognition Letters 105, 105-113, 2018
Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study
F Li, Y Jin, W Liu, BPS Rawat, P Cai, H Yu
JMIR medical informatics 7 (3), e14830, 2019
An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep learning models
F Li, H Yu
Journal of the American Medical Informatics Association, 2019
A bi-lstm-rnn model for relation classification using low-cost sequence features
F Li, M Zhang, G Fu, T Qian, D Ji
arXiv preprint arXiv:1608.07720, 2016
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
F Li, H Yu
The Thirty-Fourth AAAI Conference on Artificial Intelligence, arXiv preprint …, 2020
A transition-based model for jointly extracting drugs, diseases and adverse drug events
F Li, D Ji, X Wei, T Qian
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
Naranjo Question Answering using End-to-End Multi-task Learning Model
BPS Rawat, F Li, H Yu
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Automatic Detection of Hypoglycemic Events From the Electronic Health Record Notes of Diabetes Patients: Empirical Study
Y Jin, F Li, VG Vimalananda, H Yu
JMIR medical informatics 7 (4), e14340, 2019
A Graph Attention Model for Dictionary-Guided Named Entity Recognition
Y Lou, T Qian, F Li, D Ji
IEEE Access 8, 71584-71592, 2020
Generating Classical Chinese Poems from Vernacular Chinese
Z Yang, P Cai, Y Feng, F Li, W Feng, ESY Chiu, H Yu
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
Bacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs
W Xiong, F Li, M Cheng, H Yu, D Ji
Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 158-167, 2019
Cross-Lingual Semantic Role Labeling With Model Transfer
H Fei, M Zhang, F Li, D Ji
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2427-2437, 2020
BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab
Y Jin, F Li, H Yu
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
Emoji-Based Sentiment Analysis Using Attention Networks
Y Lou, Y Zhang, F Li, T Qian, D Ji
ACM Transactions on Asian and Low-Resource Language Information Processing …, 2020
Investigating of Disease Name Normalization Using Neural Network and Pre-Training
Y Lou, T Qian, F Li, J Zhou, D Ji, M Cheng
IEEE Access 8, 85729-85739, 2020
Extracting Drug-drug Interactions with a Dependency-based Graph Convolution Neural Network
W Xiong, F Li, H Yu, D Ji
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
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