[HTML][HTML] Causality extraction: A comprehensive survey and new perspective
Researchers in natural language processing are paying more attention to causality mining.
Numerous applications of the growing need for efficient and accurate 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 …
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 …
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
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 …
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 …
becoming more complex, interconnected and volatile. This is leading to greater operational …