Co-occurring keywords · papers mentioning both
Papers
A Domain-Specific Curated Benchmark for Entity and Document-Level Relation Extraction
EACL 2026
Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction
AAAI 2026
End-to-End Hyper-Relational Information Extraction for Engineering Diagrams via Dynamically Tokenized Relation Transformer
CVPR 2026
GSAP-ERE: Fine-Grained Scholarly Entity and Relation Extraction Focused on Machine Learning
AAAI 2026
LLMs Underperform Graph-Based Parsers on Supervised Relation Extraction for Complex Graphs
ACL 2026
MMUIE: Massive Multi-Domain Universal Information Extraction for Long Documents
EACL 2026
NeuroRule: Bridging Vision and Logic with Differentiable Rule Induction
CVPR 2026
On the Role of Discriminative Models in Generative Relation Extraction
ACL 2026
RECoRD: A Multi-Agent LLM Framework for Reverse Engineering Codebase to Relational Diagram
AAAI 2026
SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema
AAAI 2026
Structured Semantic Information Helps Retrieve Better Examples for In-Context Learning Applied to Few-Shot Relation Extraction
ACL 2026
Thesis Proposal: LLMs post-training for multilingual medical tasks. Instruction-Tuning, Continual-Pretraining or Reasoning?
ACL 2026
Thesis Proposal: Stability-Aware, Evidence-Grounded Knowledge Graph for Substance Use Disorders and Social Determinants of Health
EACL 2026
Wikontic: Constructing Wikidata-Aligned, Ontology-Aware Knowledge Graphs with Large Language Models
EACL 2026
A benchmark for end-to-end zero-shot biomedical relation extraction with LLMs: experiments with OpenAI models
AACL 2025
A City of Millions: Mapping Literary Social Networks At Scale
NAACL 2025
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
AAAI 2025
AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction
NAACL 2025
Are Relational Triple Extraction Frameworks Sufficient for Hyper-relational Facts ?
IJCNLP 2025
ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction
IJCAI 2025
Artificial Relationships in Fiction: A Dataset for Advancing NLP in Literary Domains
NAACL 2025
A Self-Denoising Model for Robust Few-Shot Relation Extraction
ACL 2025
A Unified Framework for N-ary Property Information Extraction in Materials Science
EMNLP 2025
Automated Knowledge Graph Construction using Large Language Models and Sentence Complexity Modelling
EMNLP 2025
A Variational Approach for Mitigating Entity Bias in Relation Extraction
ACL 2025