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All Projects → zxlzr → papers-on-neural-relation-extraction

zxlzr / papers-on-neural-relation-extraction

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Must-read papers on RE.

RE: relation extraction.

Contributed by Ningyu Zhang.

OpenNRE an open source toolkit for NRE.

DS Methods

  1. Large Scaled Relation Extraction with Reinforcement Learning (AAAI-18)

  2. Reinforcement Learning for Relation Extraction from Noisy Data (AAAI-18)

  3. Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions (AAAI-17)

  4. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction (AAAI-18)

  5. DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction (ACL-18)

  6. Neural Knowledge Acquisition via Mutual Attention between Knowledge Graph and Text (AAAI-18)

  7. Adversarial Multi-lingual Neural Relation Extraction (Coling-18)

  8. Ensemble Neural Relation Extraction with Adaptive Boosting (IJCAI-18)

  9. Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme (IJCAI-18)

  10. Exploring Encoder-Decoder Model for Distant Supervised Relation Extraction (IJCAI-18)

  11. Global Relation Embedding for Relation Extraction (NAACL)

  12. Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training (Arxiv-18)

  13. Jointly Extracting Relations with Class Ties via Effective Deep Ranking (ACL-17)

  14. Neural Relation Extraction with Multi-lingual Attention (ACL-17)

  15. Incorporating Relation Paths in Neural Relation Extraction (EMNLP-17)

  16. Context-Aware Representations for Knowledge Base Relation Extraction (EMNLP-17)

  17. Adversarial Training for Relation Extraction (EMNLP-17)

  18. Effective Deep Memory Networks for Distant Supervised Relation Extraction (IJCAI-17)

  19. ENCORE : External Neural Constraints Regularized Distant Supervision for Relation Extraction (Sigir-17)

  20. Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks (EMNLP-15)

  21. Deep Residual Learning for Weakly-Supervised Relation Extraction (EMNLP-17)

  22. Neural Relation Extraction with Selective Attention over Instances (ACL-16)

  23. Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks (Coling-16)

  24. Distant Supervision for Relation Extraction beyond the Sentence Boundary (ECAL-16)

  25. Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective (EMNLP-17)

  26. Distant Supervision for Relation Extraction with Matrix Completion (ACL-14)

  27. Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix (ACL-17)

  28. Indirect Supervision for Relation Extraction using Question-Answer Pairs (WSDM-18)

  29. CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases (WWW-17)

  30. Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning (WWW-18)

  31. Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach (EMNLP-17)

  32. Cooperative Denoising for Distantly Supervised Relation Extraction (Coling-18)

  33. Attention-Based Capsule Networks with Dynamic Routing for Relation Extractionn (EMNLP-18)

  34. Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding (EMNLP-18)

Supervised

  1. Relation Classification via Multi-Level Attention CNNs (ACL-16)

  2. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification (ACL-16)

  3. A Walk-based Model on Entity Graphs for Relation Extraction (ACL-18)

  4. End-to-End Neural Relation Extraction with Global Optimization (EMNLP-17)

  5. Cross-Sentence N-ary Relation Extraction with Graph LSTMs (ACL-17)

  6. End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures (ACL-16)

  7. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification (ACL-16)

  8. Relation Extraction with Matrix Factorization and Universal Schemas (NAACL-13)

  9. Classifying Relations by Ranking with Convolutional Neural Networks (ACL-15)

Domain Adaption

  1. Generalizing Biomedical Relation Classification with Neural Adversarial Domain Adaptation (Bioinformatics-18)

  2. Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network (IJCNLP-17)

  3. Semantic Representations for Domain Adaptation : A Case Study on the Tree Kernel-based Method for Relation Extraction (ACL-15)

  4. Robust Domain Adaptation for Relation Extraction via Clustering Consistency (ACL-14)

  5. Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction (ACL-14)

  6. Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction (ACL-13)

  7. Relation Adaptation: Domain Adaptation of Relation Extraction Systems (ACL-11) (Adapt to new relation)

  8. Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction (ACL-09) (Adapt to new relation)

  9. Relation Adaptation : Learning to Extract Novel Relations with Minimum Supervision (IJCAI-11) (Adapt to new relation)

Others

  1. Relation Adaptation : Learning to Extract Novel Relations with Minimum Supervision (IJCAI-11)

  2. Zero-Shot Relation Extraction via Reading Comprehension (CoNLL-17)

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