ChatCEE: a causality extraction framework based on large language model

Key Points

• Causality extraction is achieved with a large language model framework, enhancing data interpretation.
• The framework shows a significant advancement in identifying causal relations in textual information.
• Analysis involves innovative algorithms to improve the accuracy of causal inferences from text.
• This framework highlights the potential for large language models to transform data mining methods.