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 31–40 of 106 papers

TitleStatusHype
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score CalibrationCode1
GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction—0
HistRED: A Historical Document-Level Relation Extraction DatasetCode0
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete LabelingCode0
Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation ExtractionCode0
Rethinking Document-Level Relation Extraction: A Reality Check—0
Uncertainty Guided Label Denoising for Document-level Distant Relation ExtractionCode1
Towards Integration of Discriminability and Robustness for Document-Level Relation ExtractionCode0
Document-level Relation Extraction with Cross-sentence Reasoning GraphCode0
DREEAM: Guiding Attention with Evidence for Improving 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