Event Understanding

Event understanding in artificial intelligence focuses on enabling computers to comprehend complex events from various data sources, such as text and video, aiming to extract key information, relationships, and contextual nuances. Current research emphasizes developing robust models that handle partially defined events, implicit or scattered information, and factuality assessment, often employing large language models, contrastive learning, and neuro-symbolic approaches alongside automata-based methods for complex event recognition. This field is crucial for advancing natural language processing, computer vision, and robotics, with applications ranging from improved information extraction and knowledge representation to more sophisticated human-computer interaction and autonomous systems.