CauseNet: Building the Web's Largest Causality Graph to Power Next-Gen AI
Researchers unveil CauseNet—a groundbreaking knowledge base containing over 11 million causal relationships extracted from web sources like Wikipedia and ClueWeb. With 83% precision, this open-domain causality graph enables unprecedented research in AI reasoning, argumentation, and multi-hop question answering. The dataset promises to advance how machines understand cause-and-effect relationships at scale.