JOURNAL ARTICLE
Document-level event extraction framework based on prompt learning
Keywords:
Computer science Event (particle physics) Extraction (chemistry) Artificial intelligence
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
11
Refs
0.14
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Web Data Mining and Analysis
Physical Sciences → Computer Science → Information Systems
Service-Oriented Architecture and Web Services
Physical Sciences → Computer Science → Information Systems
Advanced Text Analysis Techniques
Physical Sciences → Computer Science → Artificial Intelligence
Related Documents
JOURNAL ARTICLE
Document-level Event Extraction Method Based on Slot Semantic Enhanced Prompt Learning
Hongpeng LI, Bo MA, Yating YANG, Lei WANG, Zhen WANG, Xiao LI
Journal: DOAJ (DOAJ: Directory of Open Access Journals) Year: 2023
JOURNAL ARTICLE
Event Extraction Based on Prompt Learning
Yuexian LiangYing ZhouYue ZhangWeichun GaolJia‐Chen Zhang
Year: 2025 Pages: 1511-1514
JOURNAL ARTICLE
A Prior Information Enhanced Extraction Framework for Document-level Financial Event Extraction
Haitao WangTong ZhuMingtao WangGuoliang ZhangWenliang Chen
Journal: Data Intelligence Year: 2021 Vol: 3 (3)Pages: 460-476
JOURNAL ARTICLE
GeoSMIE: An event extraction framework for Document-Level spatial morphological information extraction
Deping ChuBo WanHuizhu NiHong LiGeorge Z. TanYan DaiZijing WanTao TangShunping Zhou
Journal: Expert Systems with Applications Year: 2025 Vol: 268 Pages: 126378-126378
JOURNAL ARTICLE
Document-Level Event Causality Extraction via Automatic Prompt Engineering on Large Language Models
Xinxin ChenHaiyan HuDawei WangHaijun HouShi WangKangli Zi
Year: 2025 Pages: 277-283