A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction

arXiv:2403.09721v1 Announce Type: new
Abstract: Document-level Event Argument Extraction (DEAE) aims to identify arguments and their specific roles from an unstructured document. The advanced approaches on DEAE utilize prompt-based methods to guide pre-trained language models (PLMs) in extracting arguments from input documents. They mainly concentrate on establishing relations between triggers and entity mentions within documents, leaving two unresolved problems: a) independent modeling of entity mentions; b) document-prompt isolation. To this end, we propose a semantic mention Graph Augmented Model (GAM) …

abstract advanced arxiv cs.ai cs.cl document documents event extraction graph guide identify language language models prompt relations roles semantic type unstructured