{"total":18,"rows":[{"id":"2205.12696","title":"Revisiting DocRED -- Addressing the False Negative Problem in Relation Extraction","created":"2022-05-25","cited_by_count":57,"area":null},{"id":"2302.08675","title":"DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction","created":"2023-02-17","cited_by_count":37,"area":null},{"id":"2407.08188","title":"Position: Measure Dataset Diversity, Don't Just Claim It","created":"2024-07-11","cited_by_count":26,"area":null},{"id":"2210.08709","title":"A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling","created":"2022-10-17","cited_by_count":9,"area":null},{"id":"2310.15743","title":"RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction","created":"2023-10-24","cited_by_count":9,"area":null},{"id":"2311.07314","title":"Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models","created":"2023-11-13","cited_by_count":9,"area":null},{"id":"2304.00824","title":"Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction","created":"2023-04-03","cited_by_count":4,"area":null},{"id":"2306.14806","title":"A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling","created":"2023-06-26","cited_by_count":4,"area":null},{"id":"2309.16396","title":"A Comprehensive Survey of Document-level Relation Extraction (2016-2023)","created":"2023-09-28","cited_by_count":4,"area":null},{"id":"2306.11386","title":"Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction","created":"2023-06-20","cited_by_count":3,"area":null},{"id":"2310.18604","title":"Anaphor Assisted Document-Level Relation Extraction","created":"2023-10-28","cited_by_count":3,"area":null},{"id":"2306.09697","title":"Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data","created":"2023-06-16","cited_by_count":2,"area":null},{"id":"2406.07444","title":"On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations","created":"2024-06-11","cited_by_count":1,"area":null},{"id":"2407.21384","title":"GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction","created":"2024-07-31","cited_by_count":1,"area":null},{"id":"2410.00412","title":"TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction","created":"2024-10-01","cited_by_count":1,"area":null},{"id":"2404.16506","title":"Building a Japanese Document-Level Relation Extraction Dataset Assisted by Cross-Lingual Transfer","created":"2024-04-25","cited_by_count":0,"area":null},{"id":"2601.11190","title":"DOREMI: Optimizing Long Tail Predictions in Document-Level Relation Extraction","created":"2026-01-16","cited_by_count":0,"area":null},{"id":"2608.20856","title":"Ontology-Driven Structural Regularization for Document-Level Relation Extraction","created":"2026-08-21","cited_by_count":0,"area":null}],"next_cursor":null}