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Document-level Event Extraction
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Document-Level Event Extraction with Definition-Driven ICL
Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm
CMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News
Event-Keyed Summarization
Probing Representations for Document-level Event Extraction
Type-aware Decoding via Explicitly Aggregating Event Information for Document-level Event Extraction
Token-Event-Role Structure-based Multi-Channel Document-Level Event Extraction
Few-Shot Document-Level Event Argument Extraction
RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
Document-Level Event Extraction via Human-Like Reading Process
Writing Style Aware Document-level Event Extraction
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph
An Effective System for Multi-format Information Extraction
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker
Document-Level Event Argument Extraction by Conditional Generation
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies
Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.