Papers with Code · CC BY-SA 4.0

Document-level Relation Extraction

9 평가 기록 6 datasets

Document-level RE aim to identify the relations of various entity pairs expressed across multiple sentences.

논문

A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling

2210.08709 2022-10-17 이 페이지의 평가 4건

F1: 48.56

VaeDiff-DocRE: End-to-end Data Augmentation Framework for Document-level Relation Extraction

2412.13503 2024-12-18 이 페이지의 평가 2건

F1: 0.7307

Enhancing Biomedical Relation Extraction with Directionality

2501.14079 2025-01-23 이 페이지의 평가 1건

Evaluation Macro F1: 56.06

REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking

2404.12788 2024-04-19 이 페이지의 평가 1건

Relation F1: 60.10

TTM-RE: Memory-Augmented Document-Level Relation Extraction

2406.05906 2024-06-09 이 페이지의 평가 1건

F1: 53.59