4 papers
Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study
Jiacheng Hu, Yiru Cang, Guiran Liu +3
This paper proposes a medical literature summary generation method based on the BERT model to address the challenges brought by the current explosion of medical information. By fin…
Real-Time Summarization of Twitter
Yixin Jin, Meiqi Wang, Meng Li +3
In this paper, we describe our approaches to TREC Real-Time Summarization of Twitter. We focus on real time push notification scenario, which requires a system monitors the stream…
Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fields
Yixin Jin, Wenjing Zhou, Meiqi Wang +3
This paper examines an online multi-task learning (OMTL) method, which processes data sequentially to predict labels across related tasks. The framework learns task weights and the…
Exploration of Attention Mechanism-Enhanced Deep Learning Models in the Mining of Medical Textual Data
Lingxi Xiao, Muqing Li, Yinqiu Feng +3
The research explores the utilization of a deep learning model employing an attention mechanism in medical text mining. It targets the challenge of analyzing unstructured text info…