| Relation Classification as Two-way Span-Prediction | | 91.9 | SP | 2020-10-09 |
| Representation Iterative Fusion based on Heterogeneous Graph Neural Network for Joint Entity and Relation Extraction | ✓ Link | 91.3 | RIFRE | 2021-05-08 |
| Downstream Model Design of Pre-trained Language Model for Relation Extraction Task | ✓ Link | 91 | REDN | 2020-04-08 |
| SPOT: Knowledge-Enhanced Language Representations for Information Extraction | | 90.6 | SPOT | 2022-08-20 |
| Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction | | 90.5 | KLG | 2022-12-29 |
| Sequence Generation with Label Augmentation for Relation Extraction | ✓ Link | 90.4 | RELA | 2022-12-29 |
| Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts | ✓ Link | 90.36 | Skeleton-Aware BERT | 2019-12-04 |
| KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction | ✓ Link | 90.3 | KnowPrompt | 2021-04-15 |
| SPOT: Knowledge-Enhanced Language Representations for Information Extraction | | 90.3 | LUKE | 2022-08-20 |
| Improving Relation Classification by Entity Pair Graph | | 90.2 | EPGNN | 2019-11-17 |
| Improving Relation Extraction through Syntax-induced Pre-training with Dependency Masking | ✓ Link | 89.90 | RE-DMP + XLNet | |
| Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks | ✓ Link | 89.85 | A-GCN + BERT | 2021-08-01 |
| Matching the Blanks: Distributional Similarity for Relation Learning | ✓ Link | 89.5 | BERTEM+MTB | 2019-06-07 |
| SPOT: Knowledge-Enhanced Language Representations for Information Extraction | | 89.4 | BERT | 2022-08-20 |
| Enriching Pre-trained Language Model with Entity Information for Relation Classification | ✓ Link | 89.25 | R-BERT | 2019-05-20 |
| SPOT: Knowledge-Enhanced Language Representations for Information Extraction | | 89.2 | CorefBERT | 2022-08-20 |
| Knowledge Enhanced Contextual Word Representations | ✓ Link | 89.1 | KnowBert-W+W | 2019-09-09 |
| SPOT: Knowledge-Enhanced Language Representations for Information Extraction | | 89.1 | KnowBERT | 2022-08-20 |
| Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers | ✓ Link | 89.0 | Entity-Aware BERT | 2019-02-04 |
| SPOT: Knowledge-Enhanced Language Representations for Information Extraction | | 88.8 | SpanBERT | 2022-08-20 |
| SPOT: Knowledge-Enhanced Language Representations for Information Extraction | | 88.7 | RoBERTa | 2022-08-20 |
| Relation Classification via Multi-Level Attention CNNs | | 88.0 | Att-Pooling-CNN | 2016-08-01 |
| Generalizing Natural Language Analysis through Span-relation Representations | ✓ Link | 87.4 | SpanRel | 2019-11-10 |
| Improving Relation Extraction by Pre-trained Language Representations | ✓ Link | 87.1 | TRE | 2019-06-07 |
| Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing | ✓ Link | 85.2 | Entity Attention Bi-LSTM | 2019-01-23 |
| Attention-Based Convolutional Neural Network for Semantic Relation Extraction | ✓ Link | 84.3 | Attention CNN | 2016-12-01 |
| Classifying Relations by Ranking with Convolutional Neural Networks | ✓ Link | 84.1 | CR-CNN | 2015-04-24 |
| Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification | ✓ Link | 84.0 | Attention Bi-LSTM | 2016-08-01 |
| Relation Classification via Convolutional Deep Neural Network | ✓ Link | 82.7 | CNN | 2014-08-01 |
| Bidirectional Long Short-Term Memory Networks for Relation Classification | | 82.7 | Bi-LSTM | 2015-10-01 |
| Improving Relation Extraction by Pre-trained Language Representations | ✓ Link | 87:1 | TRE | 2019-06-07 |