CauseNet: A Massive Web-Extracted Causality Graph

Researchers have built CauseNet, a large-scale knowledge base comprising over 11 million causal relations. Extracted from semi-structured and unstructured web sources with an estimated precision of 83%, CauseNet is a causality graph usable for tasks such as causal question answering and reasoning. The project also provides code for loading into Neo4j and training/evaluation datasets for causal concept spotting.