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Entity, Relation, and Event Extraction with Contextualized Span Representations

arXiv 1909.03546 ↗First posted 8 Sep 2019cs.CLcited by 261

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Abstract (arXiv)

We examine the capabilities of a unified, multi-task framework for three information extraction tasks: named entity recognition, relation extraction, and event extraction. Our framework (called DyGIE++) accomplishes all tasks by enumerating, refining, and scoring text spans designed to capture local (within-sentence) and global (cross-sentence) context. Our framework achieves state-of-the-art results across all tasks, on four datasets from a variety of domains. We perform experiments comparing different techniques to construct span representations. Contextualized embeddings like BERT perform well at capturing relationships among entities in the same or adjacent sentences, while dynamic span graph updates model long-range cross-sentence relationships. For instance, propagating span representations via predicted coreference links can enable the model to disambiguate challenging entity mentions. Our code is publicly available at https://github.com/dwadden/dygiepp and can be easily adapted for new tasks or datasets.

Key facts. Cited by 261 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Sep 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 60; 2022: 67; 2023: 71; 2024: 28; 2025: 18; 2026: 17.

261 papers.

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  1. 2022GLM-130B: An Open Bilingual Pre-trained Modelcited by 837
  2. 2021RadGraph: Extracting Clinical Entities and Relations from Radiology Reportscited by 310
  3. 2022Unified Structure Generation for Universal Information Extractioncited by 220
  4. 2021Structured Prediction as Translation between Augmented Natural Languagescited by 183
  5. 2021Document-Level Event Argument Extraction by Conditional Generationcited by 154
  6. 2023Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulnesscited by 130
  7. 2021Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extractioncited by 129
  8. 2023Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Imagescited by 128
  9. 2021Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Textcited by 89
  10. 2021Unified Named Entity Recognition as Word-Word Relation Classificationcited by 89
  11. 2021Pre-trained Language Models in Biomedical Domain: A Systematic Surveycited by 87
  12. 2021DEGREE: A Data-Efficient Generation-Based Event Extraction Modelcited by 82
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  1. 2023Large Language Models and Knowledge Graphs: Opportunities and Challengescited by 71
  2. 2022Code4Struct: Code Generation for Few-Shot Event Structure Predictioncited by 70
  3. 2021Knowledge Matters: Radiology Report Generation with General and Specific Knowledgecited by 68
  4. 2021Learning Span-Level Interactions for Aspect Sentiment Triplet Extractioncited by 60
  5. 2022Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extractioncited by 54
  6. 2021Packed Levitated Marker for Entity and Relation Extractioncited by 49
  7. 2022Generative Knowledge Graph Construction: A Reviewcited by 49
  8. 2021Text-to-Table: A New Way of Information Extractioncited by 47
  9. 2023Universal Information Extraction as Unified Semantic Matchingcited by 47
  10. 2022DeepStruct: Pretraining of Language Models for Structure Predictioncited by 45
  11. 2021EventBERT: A Pre-Trained Model for Event Correlation Reasoningcited by 40
  12. 2022Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extractioncited by 40
  13. 2021UniRE: A Unified Label Space for Entity Relation Extractioncited by 38
  14. 2021CLEVE: Contrastive Pre-training for Event Extractioncited by 36
  15. 2022Dynamic Prefix-Tuning for Generative Template-based Event Extractioncited by 35
  16. 2021A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognitioncited by 33
  17. 2021Document-level Entity-based Extraction as Template Generationcited by 33
  18. 2021An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learningcited by 31
  19. 2023Exploring the Boundaries of GPT-4 in Radiologycited by 31
  20. 2021Noise Stability Regularization for Improving BERT Fine-tuningcited by 29
  21. 2023Style-Aware Radiology Report Generation with RadGraph and Few-Shot Promptingcited by 28
  22. 2023TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extractioncited by 27
  23. 2021A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extractioncited by 26
  24. 2021Query and Extract: Refining Event Extraction as Type-oriented Binary Decodingcited by 26
  25. 2022A sequence-to-sequence approach for document-level relation extractioncited by 25
  26. 2022Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learningcited by 25
  27. 2022GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Rolescited by 25
  28. 2022Ontology-enhanced Prompt-tuning for Few-shot Learningcited by 24
  29. 2023Schema-Driven Information Extraction from Heterogeneous Tablescited by 24
  30. 2021Gradual Fine-Tuning for Low-Resource Domain Adaptationcited by 23
  31. 2021The Case for Translation-Invariant Self-Attention in Transformer-Based Language Modelscited by 23
  32. 2023Causal Reasoning of Entities and Events in Procedural Textscited by 23
  33. 2021Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networkscited by 22
  34. 2021End-to-End NLP Knowledge Graph Constructioncited by 21
  35. 2022Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rayscited by 21
  36. 2023A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontierscited by 21
  37. 2023Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuningcited by 21
  38. 2022DICE: Data-Efficient Clinical Event Extraction with Generative Modelscited by 20

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