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Natural Language Processing
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Relation Extraction
207 directly classified papers
Papers per year
2017: 5
2018: 20
2019: 27
2020: 29
2021: 25
2022: 33
2023: 30
2024: 27
2025: 11
Papers
Condition-Treatment Relation Extraction on Disease-related Social Media Data
EMNLP 2022
Graph Based Network with Contextualized Representations of Turns in Dialogue
EMNLP 2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
AAAI 2021
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction
ACL 2021
Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning
EMNLP 2021
Distantly Supervised Relation Extraction in Federated Settings
EMNLP 2021
Multi-view Inference for Relation Extraction with Uncertain Knowledge
AAAI 2021
Entity and Evidence Guided Document-Level Relation Extraction
ACL 2021
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction
ACL 2021
Entity Concept-enhanced Few-shot Relation Extraction
ACL 2021
Learning Latent Structures for Cross Action Phrase Relations in Wet Lab Protocols
ACL 2021
SENT: Sentence-level Distant Relation Extraction via Negative Training
ACL 2021
Revisiting the Negative Data of Distantly Supervised Relation Extraction
ACL 2021
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction
EMNLP 2021
A Relation-Oriented Clustering Method for Open Relation Extraction
EMNLP 2021
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction
EMNLP 2021
Towards Realistic Few-Shot Relation Extraction
EMNLP 2021
Modular Self-Supervision for Document-Level Relation Extraction
EMNLP 2021
Document-level Entity-based Extraction as Template Generation
EMNLP 2021
Learning Logic Rules for Document-Level Relation Extraction
EMNLP 2021
Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction
EMNLP 2021
Incorporating Bidirection-Interactive Information and Semantic Features for Relational Facts Extraction (Student Abstract)
AAAI 2021
A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations
AAAI 2021
GDPNet: Refining Latent Multi-View Graph for Relation Extraction
AAAI 2021
Document-Level Relation Extraction with Reconstruction
AAAI 2021
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