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 51–100 of 106 papers

TitleStatusHype
CorefDRE: Document-level Relation Extraction with coreference resolution—0
Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey—0
Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning—0
Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning—0
Document-level Relation Extraction with Dual-tier Heterogeneous Graph—0
EIDER: Evidence-enhanced Document-level Relation Extraction—0
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction—0
Entity and Evidence Guided Document-Level Relation Extraction—0
Entity and Evidence Guided Relation Extraction for DocRED—0
EVA-Score: Evaluating Abstractive Long-form Summarization on Informativeness through Extraction and Validation—0
GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction—0
GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction—0
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
Improving Distantly Supervised Document-Level Relation Extraction Through Natural Language Inference—0
DiVA-DocRE: A Discriminative and Voice-Aware Paradigm for Document-Level Relation Extraction—0
Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning—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
Mention-centered Graph Neural Network for Document-level Relation Extraction—0
Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction—0
Modular Self-Supervision for Document-Level Relation Extraction—0
NC-DRE: Leveraging Non-entity Clue Information for Document-level Relation Extraction—0
Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling—0
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming—0
Rethinking Document-Level Relation Extraction: A Reality Check—0
Seq2rel: A sequence-to-sequence-based approach for 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
Translating Embeddings in Document for Modeling Multi-relational Graphs—0
Towards Integration of Discriminability and Robustness for Document-Level Relation ExtractionCode0
On the Robustness of Document-Level Relation Extraction Models to Entity Name VariationsCode0
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation ExtractionCode0
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation ExtractionCode0
Extracting Polymer Nanocomposite Samples from Full-Length DocumentsCode0
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple ExtractionCode0
Document-level Relation Extraction with Cross-sentence Reasoning GraphCode0
VaeDiff-DocRE: End-to-end Data Augmentation Framework for Document-level Relation ExtractionCode0
Rethinking the Role of LLMs for Document-level Relation Extraction: a Refiner with Task Distribution and Probability FusionCode0
Document-Level Relation Extraction with Relation Correlation EnhancementCode0
Revisiting Document-Level Relation Extraction with Context-Guided Link PredictionCode0
Document-level Relation Extraction with Relation CorrelationsCode0
SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin LossCode0
Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation ExtractionCode0
Improving Document-level Relation Extraction via Contextualizing Mention Representations and Weighting Mention PairsCode0
Consistent Document-Level Relation Extraction via CounterfactualsCode0
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete LabelingCode0
HistRED: A Historical Document-Level Relation Extraction DatasetCode0
LLM with Relation Classifier for Document-Level Relation ExtractionCode0
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented GraphsCode0
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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