关系抽取论文
- Adaptive Ordered Information Extraction with Deep Reinforcement Learning
ACL 2023
https://arxiv.org/pdf/2306.10787v1.pdf
https://github.com/EZ-hwh/AutoExtraction - GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
ACL 2023
https://arxiv.org/abs/2305.16663v2 - MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset
多语言关系抽取数据集
2023
https://arxiv.org/pdf/2305.04582v2.pdf
https://github.com/DFKI-NLP/MultiTACRED - HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction
2023
https://arxiv.org/pdf/2305.04297v1.pdf - GPT-RE: In-context Learning for Relation Extraction using Large Language Models
2023
https://arxiv.org/pdf/2305.02105v1.pdf - PromptORE - A Novel Approach Towards Fully Unsupervised Relation Extraction
2023
https://arxiv.org/pdf/2304.01209.pdf
https://github.com/alteca/PromptORE - LabelPrompt: Effective Prompt-based Learning for Relation Classification
2023
https://arxiv.org/abs/2302.08068v1 - Sequence Generation with Label Augmentation for Relation Extraction
AAAI2023
https://arxiv.org/pdf/2202.07959v3.pdf
https://github.com/pkuserc/RELA - Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
AAAI 2023
https://arxiv.org/pdf/2212.14270v1.pdf - Unifified Structure Generation for Universal Information Extraction
ACL 2022
https://aclanthology.org/2022.acl-long.395.pdf
https://universal-ie.github.io/ - Relational Triple Extraction: One Step is Enough
IJCAI 2022
https://arxiv.org/pdf/2205.05270.pdf - LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model
NIPS 2022
https://openreview.net/pdf?id=a8qX5RG36jd
https://github.com/ChocoWu/LasUIE - A Simple but Effective Bidirectional Framework for Relational Triple Extraction
WSDM 2022
https://arxiv.org/pdf/2112.04940.pdf
https://github.com/neukg/BiRTE - FastRE: Towards Fast Relation Extraction with Convolutional Encoder andImproved Cascade Binary Tagging Framework
IJCAI 2022
https://arxiv.org/pdf/2205.02490.pdf
https://github.com/seukgcode/FastRE - Query-based Instance Discrimination Network for Relational Triple Extraction
EMNLP 2022
https://arxiv.org/pdf/2211.01797.pdf - UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction
EMNLP 2022
https://github.com/wtangdev/UniRel - Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural Networks
SPNLP@ACL 2022
https://aclanthology.org/2022.spnlp-1.2.pdf
- Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations
Journal of Natural Language Processing 2022
https://arxiv.org/pdf/2010.07522.pdf
https://github.com/YoumiMa/TablERT
- Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations
- RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction
ACL 2022
https://doi.org/10.48550/arXiv.2203.09101
https://github.com/declare-lab/RelationPrompt - Generative Prompt Tuning for Relation Classification
EMNLP 2022
https://arxiv.org/pdf/2210.12435v1.pdf
https://github.com/hanjiale/GenPT - RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction
（将关系抽取视为填空问题）
ACL 2022
https://aclanthology.org/2022.acl-srw.2.pdf
https://github.com/lizhe2016/RFBFN - Packed Levitated Marker for Entity and Relation Extraction
ACL 2022
https://arxiv.org/abs/2109.06067v4
https://github.com/thunlp/PL-Marker - OneRel: Joint Entity and Relation Extraction with One Module in One Step
AAAI 2022
https://arxiv.org/pdf/2203.05412v1.pdf
https://github.com/ssnvxia/OneRel - A Frustratingly Easy Approach for Entity and Relation Extraction
NAACL 2021
https://arxiv.org/abs/2010.12812
https://github.com/princeton-nlp/PURE - PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction
ACL 2021
https://arxiv.org/abs/2106.09895
https://github.com/hy-struggle/PRGC - REBEL: Relation Extraction By End-to-end Language generation
EMNLP 2021
https://github.com/Babelscape/rebel - TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations
EMNLP 2021
https://aclanthology.org/2021.emnlp-main.635.pdf
https://github.com/4AI/TDEER - Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction
EMNLP 2020
https://arxiv.org/pdf/2009.07503.pdf
https://github.com/WindChimeRan/OpenJERE - Span-based Joint Entity and Relation Extraction with Transformer Pre-training
ECAI 2020
https://arxiv.org/pdf/1909.07755.pdf
https://github.com/lavis-nlp/spert - A Partition Filter Network for Joint Entity and Relation Extraction
EMNLP 2021
https://arxiv.org/abs/2108.12202
https://github.com/Coopercoppers/PFN - A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling
EMNLP 2021
https://arxiv.org/pdf/2109.06705.pdf
https://github.com/neukg/GRTE - UNIRE: A Unifified Label Space for Entity Relation Extraction
ACL 2021
https://aclanthology.org/2021.acl-long.19.pdf
https://github.com/Receiling/UniRE - Contrastive Triple Extraction with Generative Transformer
AAAI 2021
https://arxiv.org/pdf/2009.06207.pdf - TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
COLING 2020
https://arxiv.org/abs/2010.13415
https://github.com/131250208/TPlinker-joint-extraction - Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders
EMNLP 2020
https://arxiv.org/abs/2010.03851
https://github.com/LorrinWWW/two-are-better-than-one - Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy
ECAI 2020
https://arxiv.org/abs/1909.04273v3
https://github.com/yubowen-ph/JointER - SPN4RE: Joint Entity and Relation Extraction with Set Prediction Networks
2020
https://arxiv.org/abs/2011.01675
https://github.com/DianboWork/SPN4RE - A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
ACL2020
https://arxiv.org/abs/1909.03227
https://github.com/weizhepei/CasRel - Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction
AAAI 2020
https://arxiv.org/pdf/1911.09886.pdf
https://github.com/nusnlp/PtrNetDecoding4JERE - CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
AAAI 2020
https://ojs.aaai.org/index.php/AAAI/article/view/6495/6351
https://github.com/WindChimeRan/CopyMTL - Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning
ACL 2019
https://aclanthology.org/D19-1035.pdf - Span-Level Model for Relation Extraction
ACL 2019
https://aclanthology.org/P19-1525.pdf - Entity-Relation Extraction as Multi-turn Question Answering
（将关系抽取视为QA问题）
ACL 2019
https://aclanthology.org/P19-1129.pdf - Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
ACL 2019
https://aclanthology.org/P19-1132.pdf
https://github.com/helloeve/mre-in-one-pass - Entity, Relation, and Event Extraction with Contextualized Span Representations
EMNLP 2019
https://arxiv.org/pdf/1909.03546.pdf
https://github.com/dwadden/dygiepp - Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism
ACL 2018
https://aclanthology.org/P18-1047.pdf - joint extractions of entities and relations based on a novel tagging scheme
ACL2017
https://aclanthology.org/P17-1113.pdf
https://paperswithcode.com/paper/?acl=P17-1113 - Attention-based bidirectional long short-term memory networks for relation classification
ACL 2016
https://aclanthology.org/P16-2034.pdf
https://paperswithcode.com/paper/attention-based-bidirectional-long-short-term - Classifying Relations by Ranking with Convolutional Neural Network
ACL 2015
https://aclanthology.org/P15-1061.pdf
https://paperswithcode.com/paper/classifying-relations-by-ranking-with - Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
EMNLP 2015
https://aclanthology.org/D15-1203.pdf - Relation Classification via Convolutional Deep Neural Network
COLING 2014
https://aclanthology.org/C14-1220.pdf
https://github.com/FrankWork/conv_relation
https://paperswithcode.com/sota/relation-extraction-on-semeval-2010-task-8