{"total":46,"rows":[{"id":"2106.09232","title":"Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction","created":"2021-06-17","cited_by_count":129,"area":null},{"id":"2108.12724","title":"DEGREE: A Data-Efficient Generation-Based Event Extraction Model","created":"2021-08-29","cited_by_count":83,"area":null},{"id":"2210.12810","title":"Code4Struct: Code Generation for Few-Shot Event Structure Prediction","created":"2022-10-23","cited_by_count":70,"area":null},{"id":"2205.06166","title":"Dynamic Prefix-Tuning for Generative Template-based Event Extraction","created":"2022-05-12","cited_by_count":35,"area":null},{"id":"2306.04933","title":"InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding","created":"2023-06-08","cited_by_count":30,"area":null},{"id":"2105.14924","title":"Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker","created":"2021-05-31","cited_by_count":29,"area":null},{"id":"2110.07476","title":"Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding","created":"2021-10-14","cited_by_count":26,"area":null},{"id":"2205.12505","title":"GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles","created":"2022-05-25","cited_by_count":26,"area":null},{"id":"2505.00026","title":"Theory of Mind in Large Language Models: Assessment and Enhancement","created":"2025-04-26","cited_by_count":25,"area":null},{"id":"2103.09330","title":"Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks","created":"2021-03-16","cited_by_count":22,"area":null},{"id":"2208.07989","title":"DICE: Data-Efficient Clinical Event Extraction with Generative Models","created":"2022-08-16","cited_by_count":20,"area":null},{"id":"2112.15280","title":"What is Event Knowledge Graph: A Survey","created":"2021-12-31","cited_by_count":19,"area":null},{"id":"2306.06918","title":"The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation","created":"2023-06-12","cited_by_count":19,"area":null},{"id":"2211.05955","title":"MEE: A Novel Multilingual Event Extraction Dataset","created":"2022-11-11","cited_by_count":17,"area":null},{"id":"2205.00241","title":"A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction","created":"2022-04-30","cited_by_count":16,"area":null},{"id":"2109.12383","title":"Language Model Priming for Cross-Lingual Event Extraction","created":"2021-09-25","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":"2209.08679","title":"Dynamic Global Memory for Document-level Argument Extraction","created":"2022-09-18","cited_by_count":11,"area":null},{"id":"2106.12384","title":"Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations","created":"2021-06-23","cited_by_count":10,"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":"2211.05958","title":"MINION: a Large-Scale and Diverse Dataset for Multilingual Event Detection","created":"2022-11-11","cited_by_count":8,"area":null},{"id":"2210.10709","title":"Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction","created":"2022-10-19","cited_by_count":6,"area":null},{"id":"2108.10038","title":"Event Extraction by Associating Event Types and Argument Roles","created":"2021-08-23","cited_by_count":5,"area":null},{"id":"2109.05362","title":"Modular Self-Supervision for Document-Level Relation Extraction","created":"2021-09-11","cited_by_count":4,"area":null},{"id":"2210.08646","title":"EventGraph: Event Extraction as Semantic Graph Parsing","created":"2022-10-16","cited_by_count":4,"area":null},{"id":"2104.15104","title":"GTN-ED: Event Detection Using Graph Transformer Networks","created":"2021-04-30","cited_by_count":3,"area":null},{"id":"2305.09598","title":"Boosting Event Extraction with Denoised Structure-to-Text Augmentation","created":"2023-05-16","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":"2105.00477","title":"Event Argument Extraction using Causal Knowledge Structures","created":"2021-05-02","cited_by_count":2,"area":null},{"id":"2107.10326","title":"COfEE: A Comprehensive Ontology for Event Extraction from text","created":"2021-07-21","cited_by_count":2,"area":null},{"id":"2112.03073","title":"Active Learning for Event Extraction with Memory-based Loss Prediction Model","created":"2021-11-26","cited_by_count":2,"area":null},{"id":"2210.06824","title":"An Empirical Study on Finding Spans","created":"2022-10-13","cited_by_count":2,"area":null},{"id":"2306.14633","title":"JSEEGraph: Joint Structured Event Extraction as Graph Parsing","created":"2023-06-26","cited_by_count":2,"area":null},{"id":"2404.04763","title":"GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling","created":"2024-04-07","cited_by_count":2,"area":null},{"id":"2210.09770","title":"EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction","created":"2022-10-18","cited_by_count":1,"area":null},{"id":"2404.13289","title":"Double Mixture: Towards Continual Event Detection from Speech","created":"2024-04-20","cited_by_count":1,"area":null},{"id":"2504.21372","title":"Retrieval-Enhanced Few-Shot Prompting for Speech Event Extraction","created":"2025-04-30","cited_by_count":1,"area":null},{"id":"2110.02069","title":"OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis","created":"2021-10-01","cited_by_count":0,"area":null},{"id":"2201.03188","title":"Writing Style Aware Document-level Event Extraction","created":"2022-01-10","cited_by_count":0,"area":null},{"id":"2205.00387","title":"Crude Oil-related Events Extraction and Processing: A Transfer Learning Approach","created":"2022-05-01","cited_by_count":0,"area":null},{"id":"2206.07472","title":"Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus","created":"2022-06-15","cited_by_count":0,"area":null},{"id":"2211.12157","title":"PESE: Event Structure Extraction using Pointer Network based Encoder-Decoder Architecture","created":"2022-11-22","cited_by_count":0,"area":null},{"id":"2306.03469","title":"Joint Event Extraction via Structural Semantic Matching","created":"2023-06-06","cited_by_count":0,"area":null},{"id":"2408.16932","title":"Event Extraction for Portuguese: A QA-driven Approach using ACE-2005","created":"2024-08-29","cited_by_count":0,"area":null},{"id":"2608.08636","title":"Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach","created":"2026-08-09","cited_by_count":0,"area":null}],"next_cursor":null}