Drafting Event Schemas using Language Models

Understand

Past work has studied event prediction and event language modeling, sometimes mediated through structured representations of knowledge in the form of event schemas.

• Such schemas can lead to explainable predictions and forecasting of unseen events given incomplete information.
• In this work, we look at the process of creating such schemas to describe complex events.
• We use large language models (LLMs) to draft schemas directly in natural language, which can be further refined by human curators as necessary.