A Clinical Event Extraction Method Based on a High-confidence Pseudo-label Data Selection Algorithm

A Clinical Event Extraction Method Based on a High-confidence Pseudo-label Data Selection Algorithm

Purposes Event extraction is a prerequisite for building high-quality event knowledge graphs. The dependency of event elements exists in the process of clinical event extraction. Existing methods fail to accurately identify event elements and combine them into events, and the amount of available cli...

Full description

Bibliographic Details
Main Authors: Yuanyuan LUO, Chunming YANG, Bo LI, Hui ZHANG, Xujian ZHAO
Format: Article
Language:English
Published: Editorial Office of Journal of Taiyuan University of Technology 2024-01-01
Series:Taiyuan Ligong Daxue xuebao
Subjects:
clinical medical event extraction
entity recognition
multi-features
semi-supervised learning
high-confidence pseudo-label selection algorithm
Online Access:https://tyutjournal.tyut.edu.cn/englishpaper/show-2260.html

Internet

https://tyutjournal.tyut.edu.cn/englishpaper/show-2260.html

Similar Items