Multiview Contextual Commonsense Inference

Multiview Contextual Commonsense Inference is a crucial task in the field of natural language processing, aimed at identifying all valid inferences in a given context through multi-perspective commonsense reasoning. This task requires the model to have the ability to understand complex situations and perform logical analysis from different angles, thereby generating diverse and reasonable inference results. Its application value lies in enhancing the intelligence level of machines in areas such as dialogue understanding, sentiment analysis, and knowledge graph construction, improving the cognitive capabilities and user experience of the system.