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 51–75 of 106 papers

TitleStatusHype
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple ExtractionCode0
Extracting Polymer Nanocomposite Samples from Full-Length DocumentsCode0
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation ExtractionCode0
Fine-tune Bert for DocRED with Two-step ProcessCode0
Global Context-enhanced Graph Convolutional Networks for Document-level Relation ExtractionCode0
HistRED: A Historical Document-Level Relation Extraction DatasetCode0
Improving Document-level Relation Extraction via Contextualizing Mention Representations and Weighting Mention PairsCode0
LLM with Relation Classifier for Document-Level Relation ExtractionCode0
Multi-view Inference for Relation Extraction with Uncertain KnowledgeCode0
On the Robustness of Document-Level Relation Extraction Models to Entity Name VariationsCode0
Rethinking the Role of LLMs for Document-level Relation Extraction: a Refiner with Task Distribution and Probability FusionCode0
Revisiting Document-Level Relation Extraction with Context-Guided Link PredictionCode0
SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin LossCode0
Towards Better Document-level Relation Extraction via Iterative InferenceCode0
Towards Integration of Discriminability and Robustness for Document-Level Relation ExtractionCode0
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation ExtractionCode0
Improving Document-level Relation Extraction via Context Guided Mention Integration and Inter-pair Reasoning—0
Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning—0
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction—0
Key Mention Pairs Guided Document-Level Relation Extraction—0
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities—0
EIDER: Evidence-enhanced Document-level Relation Extraction—0
The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction—0
Mention-centered Graph Neural Network for Document-level Relation Extraction—0
Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction—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