Robust Chinese Clinical Named Entity Recognition with information bottleneck and adversarial training
Y He, Z Zhang, J Shen, Y Li, Y Zhang, W Ding… - Applied Soft …, 2024 - Elsevier
Abstract Chinese Clinical Named Entity Recognition (CCNER) aims to extract entities with
specific medical significance from Chinese clinical texts, which is an important part of …
specific medical significance from Chinese clinical texts, which is an important part of …
From Information Overload to Lucidity: A Survey on Leveraging GPTs for Systematic Summarization of Medical and Biomedical Artifacts
B Palanisamy, A Chakrabarti, A Singh, V Hassija… - IEEE …, 2024 - ieeexplore.ieee.org
In medical research, the rapid proliferation of condition-specific studies has led to an
information overload, making it challenging for researchers and practitioners to stay abreast …
information overload, making it challenging for researchers and practitioners to stay abreast …
Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
The diffusion model, a new generative modeling paradigm, has achieved significant success
in generating images, audio, video, and text. It has been adapted for sequence-to-sequence …
in generating images, audio, video, and text. It has been adapted for sequence-to-sequence …
Evasion Scheme for Intrusion Detection System Based on Demgan
D Xu, Y Lv, C Zhang, M Wang, J Zhao - Available at SSRN 4868511 - papers.ssrn.com
Network intrusion detection systems (IDS) are often an effective means of blocking attacks
on network traffic. Currently, IDS are mainly based on machine learning (ML) models, but …
on network traffic. Currently, IDS are mainly based on machine learning (ML) models, but …