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 101–106 of 106 papers

TitleStatusHype
Improving Document-level Relation Extraction via Contextualizing Mention Representations and Weighting Mention PairsCode0
Reasoning with Latent Structure Refinement for Document-Level Relation ExtractionCode1
HIN: Hierarchical Inference Network for Document-Level Relation Extraction—0
Fine-tune Bert for DocRED with Two-step ProcessCode0
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented GraphsCode0
DocRED: A Large-Scale Document-Level Relation Extraction DatasetCode1
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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