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
Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning—0
Graph Enhanced Dual Attention Network for Document-Level Relation Extraction—0
HIN: Hierarchical Inference Network for Document-Level Relation Extraction—0
Seq2rel: A sequence-to-sequence-based approach for document-level relation extraction—0
Improving Distantly Supervised Document-Level Relation Extraction Through Natural Language Inference—0
An Empirical Study on Relation Extraction in the Biomedical Domain—0
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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