Commonsense Causal Reasoning

Commonsense Causal Reasoning is a crucial task in the field of natural language processing, aimed at capturing and understanding the causal dependencies between events and actions. This task involves analyzing causal chains in text to uncover the underlying mechanisms of event occurrences, providing key information for applications such as decision support, intelligent question answering, and semantic understanding. Its core objective is to enhance the machine's ability to understand human common sense, enabling systems to more accurately predict the outcomes of events and improve their level of intelligence.