Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction

This article introduces a novel approach to event extraction using a multi-agent programming framework. The focus on zero-shot learning suggests an attempt to generalize event extraction capabilities without requiring extensive labeled data. The use of a multi-agent system implies a decomposition of the event extraction task into smaller, potentially more manageable subtasks, which agents then collaborate on. The title's analogy to code suggests the framework aims for a structured and programmatic approach to event extraction, potentially improving interpretability and maintainability.

• •Proposes a multi-agent programming framework for event extraction.
• •Employs a zero-shot learning approach, reducing the need for labeled data.
• •Aims for a structured and programmatic approach to event extraction, potentially improving interpretability.