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Dynamic Prefix-Tuning for Generative Template-based Event Extraction
AbstractWe consider event extraction in a generative manner with template-based conditional generation. Although there is a rising trend of casting the task of event extraction as a sequence generation problem …...
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding
AbstractEvent extraction is typically modeled as a multi-class classification problem where event types and argument roles are treated as atomic symbols. These approaches are usually limited to a set of …...
AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model
AbstractEvent argument extraction (EAE) identifies event arguments and their specific roles for a given event. Recent advancement in generation-based EAE models has shown great performance and generalizability over classification-based models. …...
Global Constraints with Prompting for Zero-Shot Event Argument Classification
AbstractDetermining the role of event arguments is a crucial subtask of event extraction. Most previous supervised models leverage costly annotations, which is not practical for open-domain applications. In this work, …...