Meizhi Ju

According to our database, Meizhi Ju authored at least 14 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Cross-Modal Contrastive Learning for Event Extraction.

Shuo Wang, Meizhi Ju, Yunyan Zhang, Yefeng Zheng, Meng Wang, Guilin Qi

Proceedings of the Database Systems for Advanced Applications, 2023

2022

A Creative Industry Image Generation Dataset Based on Captions.

Yuejia Xiang, Chuanhao Lv, Qingdazhu Liu, Xiaocui Yang, Bo Liu, Meizhi Ju

CoRR, 2022

Comparing neural models for nested and overlapping biomedical event detection.

Kurt J. P. Espinosa, Panagiotis Georgiadis, Fenia Christopoulou, Meizhi Ju, Makoto Miwa, Sophia Ananiadou

BMC Bioinform., 2022

Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words.

Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation.

Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Neural named entity recognition and temporal relation extraction

Meizhi Ju

PhD thesis, 2020

An ensemble of neural models for nested adverse drug events and medication extraction with subwords.

Meizhi Ju, Nhung T. H. Nguyen, Makoto Miwa, Sophia Ananiadou

J. Am. Medical Informatics Assoc., 2020

2019

A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience.

Matthew Shardlow, Meizhi Ju, Maolin Li, Christian O'Reilly, Elisabetta Iavarone, John McNaught, Sophia Ananiadou

Neuroinformatics, 2019

Improving reference prioritisation with PICO recognition.

Austin J. Brockmeier, Meizhi Ju, Piotr Przybyla, Sophia Ananiadou

BMC Medical Informatics Decis. Mak., 2019

2018

A Neural Layered Model for Nested Named Entity Recognition.

Meizhi Ju, Makoto Miwa, Sophia Ananiadou

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2015

Development and evaluation of task-specific NLP framework in China.

Caixia Ge, Yinsheng Zhang, Zhenzhen Huang, Zheng Jia, Meizhi Ju, Huilong Duan, Haomin Li

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Automatic Knowledge Extraction and Data Mining from Echo Reports of Pediatric Heart Disease: Application on Clinical Decision Support.

Yahui Shi, Zuofeng Li, Zheng Jia, Binyang Hu, Meizhi Ju, Xiaoyan Zhang, Haomin Li

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2015

Lexical Characteristics Analysis of Chinese Clinical Documents.

Meizhi Ju, Haomin Li, Huilong Duan

Proceedings of the Workshop on Biomedical Natural Language Processing, BioNLP@IJCNLP 2015, 2015

2014

A Statistical Study of Words Used in Chinese Clinical Documents.

Meizhi Ju, Haomin Li

Proceedings of the AMIA 2014, 2014