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Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

arXiv 1706.05075 ↗First posted 7 Jun 2017cs.CL cs.AI cs.LGcited by 102

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Abstract (arXiv)

Joint extraction of entities and relations is an important task in information extraction. To tackle this problem, we firstly propose a novel tagging scheme that can convert the joint extraction task to a tagging problem. Then, based on our tagging scheme, we study different end-to-end models to extract entities and their relations directly, without identifying entities and relations separately. We conduct experiments on a public dataset produced by distant supervision method and the experimental results show that the tagging based methods are better than most of the existing pipelined and joint learning methods. What's more, the end-to-end model proposed in this paper, achieves the best results on the public dataset.

Key facts. Cited by 102 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Jun 2017.

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Citing papers per year: 2021: 30; 2022: 24; 2023: 25; 2024: 13; 2025: 5; 2026: 5.

102 papers.

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  1. 2022Unified Structure Generation for Universal Information Extractioncited by 220
  2. 2024KG-RAG: Bridging the Gap Between Knowledge and Creativitycited by 55
  3. 2022Generative Knowledge Graph Construction: A Reviewcited by 49
  4. 2021Text-to-Table: A New Way of Information Extractioncited by 47
  5. 2023Universal Information Extraction as Unified Semantic Matchingcited by 47
  6. 2021A Partition Filter Network for Joint Entity and Relation Extractioncited by 42
  7. 2021PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extractioncited by 40
  8. 2021MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understandingcited by 40
  9. 2021UniRE: A Unified Label Space for Entity Relation Extractioncited by 38
  10. 2021An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learningcited by 31
  11. 2022OneRel:Joint Entity and Relation Extraction with One Module in One Stepcited by 27
  12. 2021A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extractioncited by 26
38 more
  1. 2021Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networkscited by 22
  2. 2021Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognitioncited by 21
  3. 2023A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontierscited by 21
  4. 2021Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inferencecited by 19
  5. 2022OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extractioncited by 18
  6. 2021A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Fillingcited by 16
  7. 2021Revisiting the Negative Data of Distantly Supervised Relation Extractioncited by 15
  8. 2021CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extractioncited by 15
  9. 2022TAGPRIME: A Unified Framework for Relational Structure Extractioncited by 15
  10. 2022Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognitioncited by 15
  11. 2021A Simple but Effective Bidirectional Framework for Relational Triple Extractioncited by 14
  12. 2022UniRel: Unified Representation and Interaction for Joint Relational Triple Extractioncited by 14
  13. 2024Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extractioncited by 14
  14. 2021Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Surveycited by 12
  15. 2021Deep Neural Network Based Relation Extraction: An Overviewcited by 11
  16. 2024MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Constructioncited by 11
  17. 2024RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplementscited by 11
  18. 2022Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Fillingcited by 10
  19. 2023Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMscited by 10
  20. 2022DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognitioncited by 9
  21. 2023InstructIE: A Bilingual Instruction-based Information Extraction Datasetcited by 9
  22. 2021First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extractioncited by 8
  23. 2021A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classificationcited by 8
  24. 2022FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Frameworkcited by 8
  25. 2022Kuaipedia: a Large-scale Multi-modal Short-video Encyclopediacited by 8
  26. 2022Zero-shot Triplet Extraction by Template Infillingcited by 7
  27. 2023Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Datacited by 7
  28. 2023Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understandingcited by 7
  29. 2023Zero- and Few-Shots Knowledge Graph Triplet Extraction with Large Language Modelscited by 7
  30. 2024CHisIEC: An Information Extraction Corpus for Ancient Chinese Historycited by 7
  31. 2025Map&Make: Schema Guided Text to Table Generationcited by 6
  32. 2025MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information Extractioncited by 6
  33. 2022Query-based Instance Discrimination Network for Relational Triple Extractioncited by 5
  34. 2023Universal Information Extraction with Meta-Pretrained Self-Retrievalcited by 5
  35. 2024IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpuscited by 5
  36. 2024MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extractioncited by 5
  37. 2025MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graphcited by 5
  38. 2021JaMIE: A Pipeline Japanese Medical Information Extraction Systemcited by 4

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