Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction

arXiv:2405.01884v1 Announce Type: new
Abstract: Recent mainstream event argument extraction methods process each event in isolation, resulting in inefficient inference and ignoring the correlations among multiple events. To address these limitations, here we propose a multiple-event argument extraction model DEEIA (Dependency-guided Encoding and Event-specific Information Aggregation), capable of extracting arguments from all events within a document simultaneouslyThe proposed DEEIA model employs a multi-event prompt mechanism, comprising DE and EIA modules. The DE module is designed to improve the correlation between …

abstract aggregation arxiv beyond correlations cs.cl document encoding event events extraction inference information limitations multiple process type