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 101–106 of 106 papers

TitleStatusHype
The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction—0
Entity and Evidence Guided Relation Extraction for DocRED—0
Improving Document-level Relation Extraction via Contextualizing Mention Representations and Weighting Mention PairsCode0
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
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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