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 21–30 of 106 papers

TitleStatusHype
A sequence-to-sequence approach for document-level relation extractionCode1
Enhancing Biomedical Relation Extraction with DirectionalityCode1
Denoising Relation Extraction from Document-level Distant SupervisionCode1
Global-to-Local Neural Networks for Document-Level Relation ExtractionCode1
Discriminative Reasoning for Document-level Relation ExtractionCode1
DocRED: A Large-Scale Document-Level Relation Extraction DatasetCode1
Few-Shot Document-Level Relation ExtractionCode1
Document-level Relation Extraction as Semantic SegmentationCode1
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context PoolingCode1
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level 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