We solve the challenging document-level event extraction problem by proposing a joint exaction methodology that can avoid inefficiency and error propagation ...

TLDR: We solve the challenging document-level event extraction problem by proposing a joint exaction methodology that can avoid inefficiency and error ...

Jun 23, 2024 · This paper addresses the limitations of traditional document-level event extraction by proposing the task of cross-document event extraction ( ...

Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph. Conference Paper. Jan 2023. Rong Hu · Qizhi Wan · Changxuan Wan ...

Sep 13, 2024 · Document-level Event Extraction (DEE) aims to identify event types and arguments from one document. However, existing methods fail to ...

Jun 23, 2024 · This paper addresses the limitations of traditional document-level event extraction by proposing the task of cross-document event extraction (CDEE) to ...

Mar 22, 2024 · This article introduces a novel framework for document-level event extraction, incorporating a new data structure called token-event-role and a multi-channel ...

This paper addresses the multi-type event relation extraction problem in the finance domain focusing on handling several issues in existing studies.

Document-level multi-task learning approach based on coreference-aware dynamic heterogeneous graph network for event extraction

12 Excerpts. Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph · Qizhi WanChangxuan Wan +5 authors. Rong Hu. Computer ...