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Relation Extraction On Tacred

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Results

Performance results of various models on this benchmark

Paper Title
RAG4RE86.6Retrieval-Augmented Generation-based Relation Extraction
DeepStruct multi-task w/ finetune76.8DeepStruct: Pretraining of Language Models for Structure Prediction
UNiST (LARGE)75.5Unified Semantic Typing with Meaningful Label Inference
RE-MC75.4Enhancing Targeted Minority Class Prediction in Sentence-Level Relation Extraction
GenPT (T5)75.3Generative Prompt Tuning for Relation Classification
RECENT+SpanBERT75.2Relation Classification with Entity Type Restriction
SuRE (PEGASUS-large)75.1Summarization as Indirect Supervision for Relation Extraction
EXOBRAIN75.0Improving Sentence-Level Relation Extraction through Curriculum Learning
Relation Reduction74.8Relation Classification as Two-way Span-Prediction
RoBERTa-large-typed-marker74.6An Improved Baseline for Sentence-level Relation Extraction
NLI_DeBERTa73.9Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction
Noise-robust Co-regularization + BERT-large73.0Learning from Noisy Labels for Entity-Centric Information Extraction
DeNERT-KG72.4DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT
K-ADAPTER (F+L)72.04K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
TANL71.9Structured Prediction as Translation between Augmented Natural Languages
KEPLER71.7KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
KnowBert-W+W71.5Knowledge Enhanced Contextual Word Representations
DG-SpanBERT-large71.5Efficient long-distance relation extraction with DG-SpanBERT
BERTEM+MTB71.5Matching the Blanks: Distributional Similarity for Relation Learning
RELA71.2Sequence Generation with Label Augmentation for Relation Extraction
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