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Related Papers
Document-Level Event Argument Extraction by Conditional Generation
AbstractEvent extraction has long been treated as a sentence-level task in the IE community. We argue that this setting does not match human informative seeking behavior and leads to incomplete …...
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
AbstractMost previous studies aim at extracting events from a single sentence, while document-level event extraction still remains under-explored. In this paper, we focus on extracting event arguments from an entire …...
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction
AbstractRecent works have introduced Abstract Meaning Representation (AMR) for Document-level Event Argument Extraction (Doc-level EAE), since AMR provides a useful interpretation of complex semantic structures and helps to capture long-distance …...
Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation
AbstractRecent studies have shown the effectiveness of retrieval augmentation in many generative NLP tasks. These retrieval-augmented methods allow models to explicitly acquire prior external knowledge in a non-parametric manner and …...
Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences?
AbstractEvent co-occurrences have been proved effective for event extraction (EE) in previous studies, but have not been considered for event argument extraction (EAE) recently. In this paper, we try to …...