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 26–50 of 106 papers

TitleStatusHype
MRN: A Locally and Globally Mention-Based Reasoning Network for Document-Level Relation ExtractionCode1
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage FusionCode1
Document-level Relation Extraction as Semantic SegmentationCode1
Discriminative Reasoning for Document-level Relation ExtractionCode1
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation ExtractionCode1
Three Sentences Are All You Need: Local Path Enhanced Document Relation ExtractionCode1
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation ExtractionCode1
An End-to-end Model for Entity-level Relation Extraction using Multi-instance LearningCode1
Document-Level Relation Extraction with ReconstructionCode1
Denoising Relation Extraction from Document-level Distant SupervisionCode1
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context PoolingCode1
Double Graph Based Reasoning for Document-level Relation ExtractionCode1
Global-to-Local Neural Networks for Document-Level Relation ExtractionCode1
Reasoning with Latent Structure Refinement for Document-Level Relation ExtractionCode1
DocRED: A Large-Scale Document-Level Relation Extraction DatasetCode1
Rethinking the Role of LLMs for Document-level Relation Extraction: a Refiner with Task Distribution and Probability FusionCode0
COMM:Concentrated Margin Maximization for Robust Document-Level Relation Extraction—0
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities—0
VaeDiff-DocRE: End-to-end Data Augmentation Framework for Document-level Relation ExtractionCode0
Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning—0
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation ExtractionCode0
DiVA-DocRE: A Discriminative and Voice-Aware Paradigm for Document-Level Relation Extraction—0
LLM with Relation Classifier for Document-Level Relation ExtractionCode0
GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction—0
Consistent Document-Level Relation Extraction via CounterfactualsCode0
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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