{"total":17,"rows":[{"id":"2104.05919","title":"Document-Level Event Argument Extraction by Conditional Generation","created":"2021-04-13","cited_by_count":155,"area":null},{"id":"2105.10922","title":"OntoED: Low-resource Event Detection with Ontology Embedding","created":"2021-05-23","cited_by_count":23,"area":null},{"id":"2105.09509","title":"Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection","created":"2021-05-20","cited_by_count":13,"area":null},{"id":"2107.02126","title":"A Survey on Deep Learning Event Extraction: Approaches and Applications","created":"2021-07-05","cited_by_count":12,"area":null},{"id":"2109.05747","title":"Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention","created":"2021-09-13","cited_by_count":9,"area":null},{"id":"2204.07241","title":"The Art of Prompting: Event Detection based on Type Specific Prompts","created":"2022-04-14","cited_by_count":9,"area":null},{"id":"2209.02203","title":"Few-Shot Document-Level Event Argument Extraction","created":"2022-09-06","cited_by_count":9,"area":null},{"id":"2108.12844","title":"Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification","created":"2021-08-29","cited_by_count":8,"area":null},{"id":"2411.01322","title":"FEET: A Framework for Evaluating Embedding Techniques","created":"2024-11-02","cited_by_count":8,"area":null},{"id":"2305.01901","title":"Few-shot Event Detection: An Empirical Study and a Unified View","created":"2023-05-03","cited_by_count":5,"area":null},{"id":"2305.14163","title":"Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection","created":"2023-05-23","cited_by_count":4,"area":null},{"id":"2405.08729","title":"Targeted Augmentation for Low-Resource Event Extraction","created":"2024-05-14","cited_by_count":4,"area":null},{"id":"2210.03419","title":"Event Extraction: A Survey","created":"2022-10-07","cited_by_count":3,"area":null},{"id":"2403.17733","title":"Continual Few-shot Event Detection via Hierarchical Augmentation Networks","created":"2024-03-26","cited_by_count":3,"area":null},{"id":"2210.08806","title":"HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold","created":"2022-10-17","cited_by_count":2,"area":null},{"id":"2202.07615","title":"P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization","created":"2022-02-15","cited_by_count":1,"area":null},{"id":"2208.09659","title":"Trigger-free Event Detection via Derangement Reading Comprehension","created":"2022-08-20","cited_by_count":1,"area":null}],"next_cursor":null}