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 51–60 of 106 papers

TitleStatusHype
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple ExtractionCode0
Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation ExtractionCode1
Revisiting DocRED -- Addressing the False Negative Problem in Relation ExtractionCode1
Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning—0
Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction—0
Few-Shot Document-Level Relation ExtractionCode1
None Class Ranking Loss for Document-Level Relation ExtractionCode1
Document-Level Relation Extraction with Sentences Importance Estimation and FocusingCode1
A Masked Image Reconstruction Network for Document-level Relation Extraction—0
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocREDCode1
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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