SOTAVerified

Document-level Relation Extraction

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 106 papers

TitleStatusHype
AutoRE: Document-Level Relation Extraction with Large Language ModelsCode2
Enhancing Biomedical Relation Extraction with DirectionalityCode1
TTM-RE: Memory-Augmented Document-Level Relation ExtractionCode1
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity LinkingCode1
Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language ModelsCode1
Anaphor Assisted Document-Level Relation ExtractionCode1
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation ExtractionCode1
Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language ModelsCode1
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score CalibrationCode1
Uncertainty Guided Label Denoising for Document-level Distant Relation ExtractionCode1
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All datasetsBc8DocRED-IEDWIERe-DocRED

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BioRex+DirectionalityEvaluation Macro F156.06—Unverified
#ModelMetricClaimedVerifiedStatus
1REXELRelation F160.1—Unverified
#ModelMetricClaimedVerifiedStatus
1VaeDiff-DocREF10.73—Unverified
#ModelMetricClaimedVerifiedStatus
1VaeDiff-DocREF10.79—Unverified