1.relation extraction文献列表

2020年：
2020AltProbing Linguistic Features of Sentence-Level Representations in Neural Extraction Task
2020AltTACRED Revisited A Thorough Evaluation of the TACRED Relation Extraction Task
2020GautTowards Understanding Gender Bias in Neural Relation Extraction
2020HeTransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition
2020KruiperIn Laymans Terms Semi-Open Relation Extraction from Scientific Texts
2020VeysehExploiting the Syntax-Model Consistency for Neural Relation Extraction
2020WeiA Novel Cascade Binary Tagging Framework for Relational Triple Extraction

Baselines：
2017ZhengJoint Extraction of Entities and Relations Based on a Novel Tagging Scheme
2018ZengExtracting Relational Facts by an End-to-End Neural Model with Copy Mechanism
2019FuGraphRel Modeling Text as Relational Graphs for Joint Entity and Relation Extraction
2019ZengLearning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning
2020WeiA Novel Cascade Binary Tagging Framework for Relational Triple Extraction

历史工作：
1.1.Pipelines
2003pipelineZelenkoKernel Methods for Relation Extraction**
2005_pipeline_ZhouExploring various knowledge in relation extraction
2009pipeline_MintzDistant supervision for relation extraction without labeled data
2011pipeline_Chan&RothExploiting Syntactico-Semantic Structures for Relation Extraction
2015pipeline_GormleyImproved Relation Extraction with Feature-Rich Compositional Embedding Models
1.2.Feature
2010feature_Yu&LamJointly Identifying Entities and Extracting Relations in Encyclopedia Text via A Graphical Model Approach
2014feature_Li&JiIncremental Joint Extraction of Entity Mentions and Relations
2014feature_Miwa&SasakiModeling Joint Entity and Relation Extraction with Table Representation
2017feature_RenCoType Joint Extraction of Typed Entities and Relations with Knowledge Bases
1.3.nn
2016nn_GuptaTable Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction
2016nn_Miwa&BansalEnd-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
2017nn_KatiyarGoing out on a limb Joint Extraction of Entity Mentions and Relations without Dependency Trees
2017nn_ZhengJoint extraction of entities and relations based on a novel tagging scheme
2018nn_ZengExtracting Relational Facts by an End-to-End Neural Model with Copy Mechanism
2019nn_FuGraphrel：Modeling Text as Relational Graphs for Joint Entity and Relation Extraction
2019nn_ZengLearning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning
1.4.Pretrained model
2020WeiA Novel Cascade Binary Tagging Framework for Relational Triple Extraction——