mlsanityData to 7 Oct 2026

Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction

arXiv 2106.09232 ↗First posted 17 Jun 2021cs.CLcited by 129

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Abstract (arXiv)

Event extraction is challenging due to the complex structure of event records and the semantic gap between text and event. Traditional methods usually extract event records by decomposing the complex structure prediction task into multiple subtasks. In this paper, we propose Text2Event, a sequence-to-structure generation paradigm that can directly extract events from the text in an end-to-end manner. Specifically, we design a sequence-to-structure network for unified event extraction, a constrained decoding algorithm for event knowledge injection during inference, and a curriculum learning algorithm for efficient model learning. Experimental results show that, by uniformly modeling all tasks in a single model and universally predicting different labels, our method can achieve competitive performance using only record-level annotations in both supervised learning and transfer learning settings.

Key facts. Cited by 129 papers in the map (data through 7 Oct 2026). Builds on 23 of its 63 references that are in the map. First posted on arXiv 17 Jun 2021.

Builds on

23 of 63 references.

References · 23

  1. 2017Attention Is All You Needcited by 59,932
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  3. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,451
  4. 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,530
  5. 2014Sequence to Sequence Learning with Neural Networkscited by 2,974
  6. 2019When Does Label Smoothing Help?cited by 985
  7. 2020Autoregressive Entity Retrievalcited by 333
  8. 2019Entity, Relation, and Event Extraction with Contextualized Span Representationscited by 261
  9. 2021Structured Prediction as Translation between Augmented Natural Languagescited by 183
  10. 2020Event Extraction by Answering (Almost) Natural Questionscited by 177
  11. 2016Language to Logical Form with Neural Attentioncited by 158
  12. 2018Jointly Multiple Events Extraction via Attention-based Graph Information Aggregationcited by 73
11 more
  1. 2014Grammar as a Foreign Languagecited by 70
  2. 2017Zero-Shot Transfer Learning for Event Extractioncited by 66
  3. 2019Neural Architectures for Nested NER through Linearizationcited by 56
  4. 2019Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extractioncited by 54
  5. 2016Joint Extraction of Events and Entities within a Document Contextcited by 48
  6. 2018One for All: Neural Joint Modeling of Entities and Eventscited by 37
  7. 2020Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extractioncited by 27
  8. 2019Reading the Manual: Event Extraction as Definition Comprehensioncited by 26
  9. 2021Structural Information Preserving for Graph-to-Text Generationcited by 24
  10. 2020Resource-Enhanced Neural Model for Event Argument Extractioncited by 15
  11. 2018Nugget Proposal Networks for Chinese Event Detectioncited by 11

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 10; 2022: 32; 2023: 51; 2024: 27; 2025: 6; 2026: 3.

129 papers.

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  1. 2021Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Surveycited by 457
  2. 2023ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPTcited by 250
  3. 2022Unified Structure Generation for Universal Information Extractioncited by 220
  4. 2023Large Language Models for Generative Information Extraction: A Surveycited by 183
  5. 2023InstructUIE: Multi-task Instruction Tuning for Unified Information Extractioncited by 167
  6. 2023Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Modelscited by 152
  7. 2021DEGREE: A Data-Efficient Generation-Based Event Extraction Modelcited by 82
  8. 2023Exploring the Feasibility of ChatGPT for Event Extractioncited by 76
  9. 2022Code4Struct: Code Generation for Few-Shot Event Structure Predictioncited by 70
  10. 2025HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representationcited by 68
  11. 2022Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extractioncited by 54
  12. 2022Generative Knowledge Graph Construction: A Reviewcited by 49
38 more
  1. 2021Text-to-Table: A New Way of Information Extractioncited by 47
  2. 2023Universal Information Extraction as Unified Semantic Matchingcited by 47
  3. 2022Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extractioncited by 40
  4. 2023Prompting Large Language Models for Counterfactual Generation: An Empirical Studycited by 36
  5. 2022Dynamic Prefix-Tuning for Generative Template-based Event Extractioncited by 35
  6. 2023MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modelingcited by 35
  7. 2024VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Toolcited by 35
  8. 2024KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extractioncited by 33
  9. 2023CodeKGC: Code Language Model for Generative Knowledge Graph Constructioncited by 28
  10. 2023TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extractioncited by 27
  11. 2021Query and Extract: Refining Event Extraction as Type-oriented Binary Decodingcited by 26
  12. 2022Ontology-enhanced Prompt-tuning for Few-shot Learningcited by 24
  13. 2022DICE: Data-Efficient Clinical Event Extraction with Generative Modelscited by 20
  14. 2023AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Modelcited by 19
  15. 2023The Devil is in the Details: On the Pitfalls of Event Extraction Evaluationcited by 18
  16. 2022Few-shot Named Entity Recognition with Self-describing Networkscited by 16
  17. 2023A Sequence-to-Sequence&Set Model for Text-to-Table Generationcited by 16
  18. 2022TAGPRIME: A Unified Framework for Relational Structure Extractioncited by 15
  19. 2022STable: Table Generation Framework for Encoder-Decoder Modelscited by 15
  20. 2023Event Extraction as Question Generation and Answeringcited by 15
  21. 2022Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Datasetcited by 14
  22. 2021A Survey on Deep Learning Event Extraction: Approaches and Applicationscited by 12
  23. 2023Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extractioncited by 12
  24. 2024ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinementcited by 12
  25. 2023Training Multimedia Event Extraction With Generated Images and Captionscited by 11
  26. 2023OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understandingcited by 11
  27. 2023Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Constructioncited by 11
  28. 2022Information Extraction in Low-Resource Scenarios: Survey and Perspectivecited by 10
  29. 2022A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneckcited by 10
  30. 2023Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences?cited by 10
  31. 2023Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevancecited by 10
  32. 2021Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Interventioncited by 9
  33. 2022The Art of Prompting: Event Detection based on Type Specific Promptscited by 9
  34. 2024Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Argumentscited by 9
  35. 2022RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extractioncited by 8
  36. 2022Bridging the Gap between Language Models and Cross-Lingual Sequence Labelingcited by 7
  37. 2023RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extractioncited by 7
  38. 2023FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extractioncited by 7

50 most cited of 129 All 129 (JSON)