SOTAVerified

Relation Classification

Relation Classification is the task of identifying the semantic relation holding between two nominal entities in text.

Source: Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 445 papers

TitleStatusHype
Comparative Analysis of AI Agent Architectures for Entity Relationship ClassificationCode0
Towards a More Generalized Approach in Open Relation ExtractionCode0
Towards Rehearsal-Free Continual Relation Extraction: Capturing Within-Task Variance with Adaptive PromptingCode0
Probing LLMs for Multilingual Discourse Generalization Through a Unified Label SetCode0
HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition—0
Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual AwarenessCode1
GLiREL -- Generalist Model for Zero-Shot Relation ExtractionCode3
AmalREC: A Dataset for Relation Extraction and Classification Leveraging Amalgamation of Large Language Models—0
Annotations for Exploring Food Tweets From Multiple AspectsCode0
Diversity Over Quantity: A Lesson From Few Shot Relation Classification—0
Show:102550
← PrevPage 1 of 45Next →
All datasetsTACREDSemEval-2010 Task-8FewRelAbstRCT - NeoplasmCDCPDiscoveryDRI CorpusMATRES

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SCS-EEREF10.83—Unverified