Paper of Relation Extraction
| (2014)Relation Classification via Convolutional Deep Neural Network(809) | CNN |
|---|---|
| (2015)Relation Extraction: Perspective from Convolutional Neural Networks(272) | CNN + 多粒度卷积核 |
| (2015)Classifying Relations by Ranking with Convolutional Neural Networks(332) | CNN + ranking loss |
| (2015)Bidirectional Long Short-Term Memory Networks for Relation Classification(112) | LSTM + 依存句法 + CNN + ranking loss |
| (2016)Relation Classification via Multi-Level Attention CNNs(182) | CNN + Multi-level Attention + ranking loss |
| (2017)Joint entity and relation extraction based on a hybrid neural network(63) | Bi-LSTM(entity extraction) + CNN(relation classification) |
| (2019)Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts(16) | Knowledge-oriented Convolutional Neural Network (K-CNN) |
| (2015)Bidirectional Long Short-Term Memory Networks for Relation Classification(112) | LSTM + 依存句法 + CNN + ranking loss |
|---|---|
| (2016)Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification(495) | Bi-LSTM + Attention |
| (2016)Bidirectional Recurrent Convolutional Neural Network for Relation Classification(82) | shortest dependency path (SDP) + Bi-LSTM + CNN |
| (2017)Joint entity and relation extraction based on a hybrid neural network(63) | Bi-LSTM(entity extraction) + CNN（relation classification） |
| (2017)Combining Word-Level and Character-Level Representations for Relation Classification of Informal Text(11) | Bi-GRU + CNN |
| (2017)Cross-Sentence N-ary Relation Extraction with Graph LSTMs(123) | graph LSTMs |
| (2020)Semantic relation extraction using sequential and tree-structured LSTM with attention(2) | tree-structured LSTM + attention |
| (2016)Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification(495) | Bi-LSTM + Attention |
|---|---|
| (2016)Relation Classification via Multi-Level Attention CNNs(182) | CNN + Multi-level Attention + ranking loss |
| (2017)Designing an Adaptive Attention Mechanism for Relation Classification(12) | Entity-pair-based Attention Mechanism |
| (2019)Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification(16) | few-shot learning + hybrid attention-based models |
| (2020)Semantic relation extraction using sequential and tree-structured LSTM with attention(2) | tree-structured LSTM + attention |
| (2020)Dynamic Prototype Selection by Fusing Attention Mechanism for Few-Shot Relation Classification | Attention + few-shot learning |
| (2017)Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification(29) | linear-chain Conditional Random Field |
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| (2018)Joint entity recognition and relation extraction as a multi-head selection problem(30) | Conditional Random Field |
| (2017)Distant supervision for relation extraction with sentence-level attention and entity descriptions(127) | Distant Supervision |
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| (2018)Adversarial learning for distant supervised relation extraction(75) | Adversarial training + Distant supervision |
| (2018)Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning(49) | Distant supervision + deep reinforcement learning |
| (2017)Adversarial Training for Relation Extraction(80) | Adversarial training |
|---|---|
| (2018)Adversarial learning for distant supervised relation extraction(75) | Adversarial training + Distant supervision |
| (2018)DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction(43) | DSGAN |
| (2018)Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning(49) | Distant supervision + deep reinforcement learning |
|---|---|
| (2018)Reinforcement Learning for Relation Classification From Noisy Data(92) | deep reinforcement learning |
| (2019)A Hierarchical Framework for Relation Extraction with Reinforcement Learning(20) | hierarchical reinforcement learning (HRL) framework |
| (2019)A Walk-based Model on Entity Graphs for Relation Extraction(29) | graph-based neural network |
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| (2018)Graph Convolution over Pruned Dependency Trees Improves Relation Extraction(79) | graph convolutional networks |
| (2019)Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification(16) | few-shot learning + hybrid attention-based models |
|---|---|
| (2020)Dynamic Prototype Selection by Fusing Attention Mechanism for Few-Shot Relation Classification | Attention + few-shot learning |