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Jie Yang, PhD, FACMI, FAMIA
Jie Yang, PhD, FACMI, FAMIA
Assistant Professor at Harvard University
Verified email at bwh.harvard.edu
Title
Cited by
Cited by
Year
Chinese NER Using Lattice LSTM
Y Zhang*, J Yang*
Proceeding of ACL, 1554-1564, 2018
12222018
Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring
F Dong, Y Zhang, J Yang
Proceeding of CoNLL, 153-162, 2017
4282017
NCRF++: An Open-source Neural Sequence Labeling Toolkit
J Yang, Y Zhang
Proceeding of ACL, 74-79, 2018
2512018
Design Challenges and Misconceptions in Neural Sequence Labeling
J Yang, S Liang, Y Zhang
Proceeding of COLING, Best Paper Award, 2018
2292018
YEDDA: A Lightweight Collaborative Text Span Annotation Tool
J Yang, Y Zhang, L Linwei, L Xingxuan
Proceeding of ACL, Best Demonstration Paper Nomination, 2018
1682018
Neural Word Segmentation with Rich Pretraining
J Yang, Y Zhang, F Dong
Proceeding of ACL, 839--849, 2017
1452017
Disparities in Outpatient Visits for Mental Health and/or Substance Use Disorders During the COVID-19 Surge and Partial Reopening in Massachusetts
J Yang, MB Landrum, L Zhou, AB Busch
General Hospital Psychiatry, 2020
1112020
Sentiment correlation in financial news networks and associated market movements
X Wan*, J Yang*, S Marinov, JP Calliess, S Zohren, X Dong
Scientific reports 11 (1), 3062, 2021
1032021
Combining Discrete and Neural Features for Sequence Labeling
J Yang, Z Teng, M Zhang, Y Zhang
Proceeding of CICLing, 2016
902016
Subword Encoding in Lattice LSTM for Chinese Word Segmentation
J Yang, Y Zhang, S Liang
Proceeding of NAACL, 2019
872019
Genetically predicted sex hormone levels and health outcomes: phenome-wide Mendelian randomization investigation
S Yuan, L Wang, J Sun, L Yu, X Zhou, J Yang, Y Zhu, D Gill, S Burgess, ...
International journal of epidemiology 51 (6), 1931-1942, 2022
662022
Uncovering Language Disparity of ChatGPT on Retinal Vascular Disease Classification: Cross-Sectional Study
X Liu, J Wu, A Shao, W Shen, P Ye, Y Wang, J Ye, K Jin, J Yang
Journal of Medical Internet Research, e51926, 2024
642024
Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications
Y Hua, H Jiang, S Lin, J Yang, JM Plasek, DW Bates, L Zhou
Journal of the American Medical Informatics Association, 2022
562022
Assessing the Prognostic Significance of Tumor-Infiltrating Lymphocytes in Patients With Melanoma Using Pathologic Features Identified by Natural Language Processing
J Yang, J Lian, YP Chin, L Wang, A Lian, GF Murphy, L Zhou
JAMA Network Open, 2021
562021
Neural Reranking for Named Entity Recognition
J Yang, Y Zhang, F Dong
Proceeding of RANLP, regular paper, 2017
492017
Clinical Text Datasets for Medical Artificial Intelligence and Large Language Models — A Systematic Review
J Wu, X Liu, M Li, W Li, Z Su, G Lucas, Z Zhang, Y Zhang, Q Zeng, J Shen, ...
The New England Journal of Medicine AI (NEJM AI), 2024
482024
Effects of defects and thermal treatment on the properties of graphene
K Jia, Y Su, Y Chen, J Luo, J Yang, P Lv, Z Zhang, H Zhu, C Zhao, T Ye
Vacuum 116, 90-95, 2015
452015
Mining clinical phrases from nursing notes to discover risk factors of patient deterioration
Z Korach, J Yang, SC Rossetti, K Cato, MJ Kang, C Knaplund, K Schnock, ...
International Journal of Medical Informatics, 2019
442019
Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries
J Wu, X Wu, Z Qiu, M Li, S Lin, Y Zhang, Y Zheng, C Yuan, J Yang
Journal of the American Medical Informatics Association, 2024
41*2024
Development and validation of a deep learning model for earlier detection of cognitive decline from clinical notes in electronic health records
L Wang, J Laurentiev, J Yang, YC Lo, RE Amariglio, D Blacker, ...
JAMA network open 4 (11), e2135174-e2135174, 2021
382021
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Articles 1–20