[HTML][HTML] Causality extraction: A comprehensive survey and new perspective

W Ali, W Zuo, W Ying, R Ali, G Rahman… - Journal of King Saud …, 2023 - Elsevier
Researchers in natural language processing are paying more attention to causality mining.
Numerous applications of the growing need for efficient and accurate causality mining …

Research on the Financial Data Fraud Detection of Chinese Listed Enterprises by Integrating Audit Opinions

L Zhou, Y Duan, W Wei - … on Internet and Information Systems (TIIS), 2023 - koreascience.kr
Financial fraud undermines the sustainable development of financial markets. Financial
statements can be regarded as the key source of information to obtain the operating …

[PDF][PDF] Computer and Information Sciences

J Ali, W Zuo, W Ying, R Ali, G Rahman… - Journal of King Saud …, 2023 - researchgate.net
abstract Researchers in natural language processing are paying more attention to causality
mining. Numerous applications of the growing need for efficient and accurate causality …

Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language

X Ding, B Carik, US Gunturi, V Reyna… - Proceedings of the CHI …, 2024 - dl.acm.org
We introduce a multi-step reasoning framework using prompt-based LLMs to examine the
relationship between social media language patterns and trends in national health …

[PDF][PDF] Data-Driven Operational Risk Management: An improved understanding of the effect of causal factors

N Cornwell - 2023 - research.bond.edu.au
The internal and external operating environments of organisations globally are evolving and
becoming more complex, interconnected and volatile. This is leading to greater operational …