mlsanityData to 7 Oct 2026

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction

arXiv 1909.13078 ↗First posted 28 Sep 2019cs.CLcited by 62

Not on the map. Why?

Abstract (arXiv)

OpenNRE is an open-source and extensible toolkit that provides a unified framework to implement neural models for relation extraction (RE). Specifically, by implementing typical RE methods, OpenNRE not only allows developers to train custom models to extract structured relational facts from the plain text but also supports quick model validation for researchers. Besides, OpenNRE provides various functional RE modules based on both TensorFlow and PyTorch to maintain sufficient modularity and extensibility, making it becomes easy to incorporate new models into the framework. Besides the toolkit, we also release an online system to meet real-time extraction without any training and deploying. Meanwhile, the online system can extract facts in various scenarios as well as aligning the extracted facts to Wikidata, which may benefit various downstream knowledge-driven applications (e.g., information retrieval and question answering). More details of the toolkit and online system can be obtained from http://github.com/thunlp/OpenNRE.

Key facts. Cited by 62 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Sep 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 17; 2022: 18; 2023: 12; 2024: 8; 2025: 5; 2026: 2.

62 papers.

Sort:

By area:

  1. 2021PTR: Prompt Tuning with Rules for Text Classificationcited by 238
  2. 2021KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extractioncited by 180
  3. 2021Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learnerscited by 115
  4. 2021Complex Knowledge Base Question Answering: A Surveycited by 52
  5. 2023ChatGPT Informed Graph Neural Network for Stock Movement Predictioncited by 41
  6. 2023How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?cited by 30
  7. 2022Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generationcited by 28
  8. 2021SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extractioncited by 23
  9. 2025Preference-Aware Memory Update for Long-Term LLM Agentscited by 19
  10. 2022DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Populationcited by 17
  11. 2021MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extractioncited by 16
  12. 2024A Simple but Effective Approach to Improve Structured Language Model Output for Information Extractioncited by 16
38 more
  1. 2021NEREL: A Russian Dataset with Nested Named Entities, Relations and Eventscited by 13
  2. 2022Generative Prompt Tuning for Relation Classificationcited by 13
  3. 2021Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extractioncited by 12
  4. 2023Construction of Knowledge Graphs: State and Challengescited by 12
  5. 2023Visually-Aware Context Modeling for News Image Captioningcited by 12
  6. 2022Focus! Relevant and Sufficient Context Selection for News Image Captioningcited by 10
  7. 2024A Survey on Patent Analysis: From NLP to Multimodal AIcited by 10
  8. 2021DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extractioncited by 9
  9. 2021Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priorscited by 8
  10. 2021Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Trainingcited by 8
  11. 2022Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extractioncited by 7
  12. 2022CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Basescited by 6
  13. 2023Plug-and-Play Knowledge Injection for Pre-trained Language Modelscited by 6
  14. 2021Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extractioncited by 5
  15. 2022Financial data analysis application via multi-strategy text processingcited by 5
  16. 2022Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Studycited by 5
  17. 2023BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NERcited by 5
  18. 2025RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answeringcited by 5
  19. 2021PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extractioncited by 4
  20. 2022Visualizing and Explaining Language Modelscited by 4
  21. 2022The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphscited by 4
  22. 2023PromptORE -- A Novel Approach Towards Fully Unsupervised Relation Extractioncited by 3
  23. 2023Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Surveycited by 3
  24. 2024RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-trainingcited by 3
  25. 2025VLMT: Vision-Language Multimodal Transformer for Multimodal Multi-hop Question Answeringcited by 3
  26. 2021Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learningcited by 2
  27. 2021#StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphscited by 2
  28. 2022MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extractioncited by 2
  29. 2023COMBO: A Complete Benchmark for Open KG Canonicalizationcited by 2
  30. 2023CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph Constructioncited by 2
  31. 2024Construction of Hyper-Relational Knowledge Graphs Using Pre-Trained Large Language Modelscited by 2
  32. 2024Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extractioncited by 2
  33. 2025In-depth Research Impact Summarization through Fine-Grained Temporal Citation Analysiscited by 2
  34. 2022EPPAC: Entity Pre-typing Relation Classification with Prompt AnswerCentralizingcited by 1
  35. 2022Augmenting Task-Oriented Dialogue Systems with Relation Extractioncited by 1
  36. 2022Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extractioncited by 1
  37. 2024On Unified Prompt Tuning for Request Quality Assurance in Public Code Reviewcited by 1
  38. 2021A Sample-Based Training Method for Distantly Supervised Relation Extraction with Pre-Trained Transformerscited by 0

50 most cited of 62 All 62 (JSON)