mlsanityData to 14 Oct 2026

Multi-Sentence Argument Linking

arXiv 1911.03766 ↗First posted 9 Nov 2019cs.CLcited by 81

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Abstract (arXiv)

We present a novel document-level model for finding argument spans that fill an event's roles, connecting related ideas in sentence-level semantic role labeling and coreference resolution. Because existing datasets for cross-sentence linking are small, development of our neural model is supported through the creation of a new resource, Roles Across Multiple Sentences (RAMS), which contains 9,124 annotated events across 139 types. We demonstrate strong performance of our model on RAMS and other event-related datasets.

Key facts. Cited by 81 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Nov 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 10; 2022: 22; 2023: 20; 2024: 14; 2025: 6; 2026: 9.

81 papers.

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  1. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,212
  2. 2025Agentic Retrieval-Augmented Generation: A Survey on Agentic RAGcited by 249
  3. 2023Large Language Models for Generative Information Extraction: A Surveycited by 185
  4. 2021Document-Level Event Argument Extraction by Conditional Generationcited by 155
  5. 2023GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extractioncited by 119
  6. 2022Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extractioncited by 54
  7. 2023CRAB: Assessing the Strength of Causal Relationships Between Real-world Eventscited by 28
  8. 2023TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extractioncited by 28
  9. 2022GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Rolescited by 26
  10. 2022Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learningcited by 25
  11. 2021What is Event Knowledge Graph: A Surveycited by 19
  12. 2023The Devil is in the Details: On the Pitfalls of Event Extraction Evaluationcited by 19
38 more
  1. 2022MEE: A Novel Multilingual Event Extraction Datasetcited by 17
  2. 2022A Two-Stream AMR-enhanced Model for Document-level Event Argument Extractioncited by 16
  3. 2021MLBiNet: A Cross-Sentence Collective Event Detection Networkcited by 15
  4. 2023Translation and Fusion Improves Zero-shot Cross-lingual Information Extractioncited by 15
  5. 2023GLEN: General-Purpose Event Detection for Thousands of Typescited by 14
  6. 2021Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graphcited by 13
  7. 2021A Survey on Deep Learning Event Extraction: Approaches and Applicationscited by 12
  8. 2024ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinementcited by 12
  9. 2022Dynamic Global Memory for Document-level Argument Extractioncited by 11
  10. 2022Iterative Document-level Information Extraction via Imitation Learningcited by 11
  11. 2022Open-Vocabulary Argument Role Prediction for Event Extractioncited by 11
  12. 2023OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understandingcited by 11
  13. 2022Information Extraction in Low-Resource Scenarios: Survey and Perspectivecited by 10
  14. 2022A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneckcited by 10
  15. 2023Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences?cited by 10
  16. 2023Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevancecited by 10
  17. 2022Few-Shot Document-Level Event Argument Extractioncited by 9
  18. 2022MINION: a Large-Scale and Diverse Dataset for Multilingual Event Detectioncited by 8
  19. 2023An AMR-based Link Prediction Approach for Document-level Event Argument Extractioncited by 8
  20. 2023LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extractioncited by 8
  21. 2022CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extractioncited by 7
  22. 2023MAILEX: Email Event and Argument Extractioncited by 6
  23. 2023MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotationcited by 6
  24. 2024CMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military Newscited by 6
  25. 2024Towards Better Question Generation in QA-based Event Extractioncited by 6
  26. 2025GKG-LLM: A Unified Framework for Generalized Knowledge Graph Constructioncited by 6
  27. 2021Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequencescited by 5
  28. 2024IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpuscited by 5
  29. 2024Superlatives in Context: Modeling the Implicit Semantics of Superlativescited by 5
  30. 2025Event Extraction in Large Language Modelcited by 5
  31. 2022Asking the Right Questions in Low Resource Template Extractioncited by 4
  32. 2024A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extractioncited by 4
  33. 2024Explicating the Implicit: Argument Detection Beyond Sentence Boundariescited by 4
  34. 2023CEO: Corpus-based Open-Domain Event Ontology Inductioncited by 3
  35. 2023EDM3: Event Detection as Multi-task Text Generationcited by 3
  36. 2023A Survey of Document-Level Information Extractioncited by 3
  37. 2024A Compressive Memory-based Retrieval Approach for Event Argument Extractioncited by 3
  38. 2024RUIE: Retrieval-based Unified Information Extraction using Large Language Modelcited by 3

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