Relation Extraction On Tacred

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이 벤치마크에서 각 모델의 성능 결과

		Paper Title
RAG4RE	86.6	Retrieval-Augmented Generation-based Relation Extraction
DeepStruct multi-task w/ finetune	76.8	DeepStruct: Pretraining of Language Models for Structure Prediction
UNiST (LARGE)	75.5	Unified Semantic Typing with Meaningful Label Inference
RE-MC	75.4	Enhancing Targeted Minority Class Prediction in Sentence-Level Relation Extraction
GenPT (T5)	75.3	Generative Prompt Tuning for Relation Classification
RECENT+SpanBERT	75.2	Relation Classification with Entity Type Restriction
SuRE (PEGASUS-large)	75.1	Summarization as Indirect Supervision for Relation Extraction
EXOBRAIN	75.0	Improving Sentence-Level Relation Extraction through Curriculum Learning
Relation Reduction	74.8	Relation Classification as Two-way Span-Prediction
RoBERTa-large-typed-marker	74.6	An Improved Baseline for Sentence-level Relation Extraction
NLI_DeBERTa	73.9	Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction
Noise-robust Co-regularization + BERT-large	73.0	Learning from Noisy Labels for Entity-Centric Information Extraction
DeNERT-KG	72.4	DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT
K-ADAPTER (F+L)	72.04	K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
TANL	71.9	Structured Prediction as Translation between Augmented Natural Languages
KEPLER	71.7	KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
KnowBert-W+W	71.5	Knowledge Enhanced Contextual Word Representations
DG-SpanBERT-large	71.5	Efficient long-distance relation extraction with DG-SpanBERT
BERTEM+MTB	71.5	Matching the Blanks: Distributional Similarity for Relation Learning
RELA	71.2	Sequence Generation with Label Augmentation for Relation Extraction

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Relation Extraction On Tacred

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