SOTAVerified

Document-level Relation Extraction

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

Papers

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Showing 1–10 of 106 papers

TitleStatusHype
AutoRE: Document-Level Relation Extraction with Large Language ModelsCode2
DocRED: A Large-Scale Document-Level Relation Extraction DatasetCode1
A sequence-to-sequence approach for document-level relation extractionCode1
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and GenesCode1
Discriminative Reasoning for Document-level Relation ExtractionCode1
Anaphor Assisted Document-Level Relation ExtractionCode1
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of LabelingCode1
An End-to-end Model for Entity-level Relation Extraction using Multi-instance LearningCode1
Denoising Relation Extraction from Document-level Distant SupervisionCode1
Document-level Relation Extraction as Semantic SegmentationCode1
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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