A Review of Document-Level Multi-Event Extraction Methods
Author:
Affiliation:
1. Academy of Military Science,Strategic Assessments and Consultation Institute,Beijing,China
2. National University of Defense Technology,State Key Laboratory of High Performance,Changsha,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10428932/10429051/10429706.pdf?arnumber=10429706
Reference49 articles.
1. Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks Convolutional Neural Networks
2. Event Detection with Multi-Order Graph Convolution and Aggregated Attention
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding;Devlin
4. DeBERTa: Decoding-enhanced BERT with Disentangled Attention;He,2020
5. Automatically constructing a dictionary for information extraction tasks
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