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Reading the Manual: Event Extraction as Definition Comprehension

arXiv 1912.01586 ↗First posted 3 Dec 2019cs.CLcited by 26

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Abstract (arXiv)

We ask whether text understanding has progressed to where we may extract event information through incremental refinement of bleached statements derived from annotation manuals. Such a capability would allow for the trivial construction and extension of an extraction framework by intended end-users through declarations such as, "Some person was born in some location at some time." We introduce an example of a model that employs such statements, with experiments illustrating we can extract events under closed ontologies and generalize to unseen event types simply by reading new definitions.

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Dec 2019.

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Citing papers per year: 2021: 11; 2022: 7; 2023: 3; 2024: 4; 2025: 1.

26 papers.

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  1. 2021Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Surveycited by 457
  2. 2021Document-Level Event Argument Extraction by Conditional Generationcited by 154
  3. 2021Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extractioncited by 129
  4. 2022State-of-the-art generalisation research in NLP: A taxonomy and reviewcited by 97
  5. 2021Query and Extract: Refining Event Extraction as Type-oriented Binary Decodingcited by 26
  6. 2022Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learningcited by 25
  7. 2021Factoring Statutory Reasoning as Language Understanding Challengescited by 20
  8. 2021CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extractioncited by 15
  9. 2023Event Extraction as Question Generation and Answeringcited by 15
  10. 2021EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generationcited by 14
  11. 2021A Survey on Deep Learning Event Extraction: Approaches and Applicationscited by 12
  12. 2021Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relationscited by 10
14 more
  1. 2022A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneckcited by 10
  2. 2022The Art of Prompting: Event Detection based on Type Specific Promptscited by 9
  3. 2021Event Extraction by Associating Event Types and Argument Rolescited by 5
  4. 2022Asking the Right Questions in Low Resource Template Extractioncited by 4
  5. 2024Targeted Augmentation for Low-Resource Event Extractioncited by 4
  6. 2025Identifying and Investigating Global News Coverage of Critical Events Such as Disasters and Terrorist Attackscited by 4
  7. 2021Enhanced Language Representation with Label Knowledge for Span Extractioncited by 3
  8. 2022Contrastive Training Improves Zero-Shot Classification of Semi-structured Documentscited by 3
  9. 2024EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Modelscited by 3
  10. 2022An Empirical Study on Finding Spanscited by 2
  11. 2023A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extractioncited by 2
  12. 2023InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extractioncited by 1
  13. 2024EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domaincited by 1
  14. 2024Small Models Are (Still) Effective Cross-Domain Argument Extractorscited by 0