Event Schema

Event schemas are structured representations of typical event sequences, aiming to capture the knowledge underlying event understanding and reasoning. Current research focuses on automatically inducing these schemas from large text corpora using large language models (LLMs), often employing graph-based models and incremental prompting techniques to handle the complexity of hierarchical and temporal relationships within events. This work is significant because accurate event schemas are crucial for improving various natural language processing tasks, such as event extraction, reasoning, and prediction, ultimately leading to more robust and insightful AI systems.