【NLP | 关系抽取】阅读总结2018年

写在前面
2019年以前的大部分已读论文之前已经整理到excel里了，但还是想在博客上补一下档，如果之后重读论文有新的想法，估计在excel上自己是懒得更新了，写在博客上督促一下自己233

ACL

[1] A Walk-based Model on Entity Graphs for Relation Extraction

[2] Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

[3] Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism

[4] DSGAN_ Generative Adversarial Training for Distant Supervision Relation Extraction

[5] Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction

EMNLP

[1] Graph Convolution over Pruned Dependency Trees Improves Relation Extraction

[2] Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction

[3] Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning

[4] Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction

[5] RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

[6] Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding

[7] Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention