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Meizhi Ju
Publication Activity (10 Years)
Years Active: 2014-2023
Publications (10 Years): 10
Top Topics
Adverse Drug Reactions
Neural Models
Heart Disease
Knowledge Extraction
Top Venues
CoRR
BMC Medical Informatics Decis. Mak.
MedInfo
BMC Bioinform.
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Publications
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Shuo Wang
,
Meizhi Ju
,
Yunyan Zhang
,
Yefeng Zheng
,
Meng Wang
,
Guilin Qi
Cross-Modal Contrastive Learning for Event Extraction.
DASFAA (3)
(2023)
Kurt J. P. Espinosa
,
Panagiotis Georgiadis
,
Fenia Christopoulou
,
Meizhi Ju
,
Makoto Miwa
,
Sophia Ananiadou
Comparing neural models for nested and overlapping biomedical event detection.
BMC Bioinform.
23 (1) (2022)
Haochun Wang
,
Chi Liu
,
Nuwa Xi
,
Sendong Zhao
,
Meizhi Ju
,
Shiwei Zhang
,
Ziheng Zhang
,
Yefeng Zheng
,
Bing Qin
,
Ting Liu
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words.
CoRR
(2022)
Haochun Wang
,
Chi Liu
,
Nuwa Xi
,
Sendong Zhao
,
Meizhi Ju
,
Shiwei Zhang
,
Ziheng Zhang
,
Yefeng Zheng
,
Bing Qin
,
Ting Liu
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words.
COLING
(2022)
Yuejia Xiang
,
Chuanhao Lv
,
Qingdazhu Liu
,
Xiaocui Yang
,
Bo Liu
,
Meizhi Ju
A Creative Industry Image Generation Dataset Based on Captions.
CoRR
(2022)
Jialun Wu
,
Buyue Qian
,
Yang Li
,
Zeyu Gao
,
Meizhi Ju
,
Yifan Yang
,
Yefeng Zheng
,
Tieliang Gong
,
Chen Li
,
Xianli Zhang
Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation.
CIKM
(2022)
Meizhi Ju
,
Nhung T. H. Nguyen
,
Makoto Miwa
,
Sophia Ananiadou
An ensemble of neural models for nested adverse drug events and medication extraction with subwords.
J. Am. Medical Informatics Assoc.
27 (1) (2020)
Matthew Shardlow
,
Meizhi Ju
,
Maolin Li
,
Christian O'Reilly
,
Elisabetta Iavarone
,
John McNaught
,
Sophia Ananiadou
A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience.
Neuroinformatics
17 (3) (2019)
Austin J. Brockmeier
,
Meizhi Ju
,
Piotr Przybyla
,
Sophia Ananiadou
Improving reference prioritisation with PICO recognition.
BMC Medical Informatics Decis. Mak.
19 (1) (2019)
Meizhi Ju
,
Makoto Miwa
,
Sophia Ananiadou
A Neural Layered Model for Nested Named Entity Recognition.
NAACL-HLT
(2018)
Meizhi Ju
,
Haomin Li
,
Huilong Duan
Lexical Characteristics Analysis of Chinese Clinical Documents.
BioNLP@IJCNLP
(2015)
Yahui Shi
,
Zuofeng Li
,
Zheng Jia
,
Binyang Hu
,
Meizhi Ju
,
Xiaoyan Zhang
,
Haomin Li
Automatic Knowledge Extraction and Data Mining from Echo Reports of Pediatric Heart Disease: Application on Clinical Decision Support.
CCL
(2015)
Caixia Ge
,
Yinsheng Zhang
,
Zhenzhen Huang
,
Zheng Jia
,
Meizhi Ju
,
Huilong Duan
,
Haomin Li
Development and evaluation of task-specific NLP framework in China.
MedInfo
(2015)
Meizhi Ju
,
Haomin Li
A Statistical Study of Words Used in Chinese Clinical Documents.
AMIA
(2014)