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

Showing 110 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 Recognition0
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 Models0
Annotations for Exploring Food Tweets From Multiple AspectsCode0
Diversity Over Quantity: A Lesson From Few Shot Relation Classification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepEx (zero-shot top-10)F176.4Unverified
2DeepStruct multi-taskF174.9Unverified
3LUKE 483MF172.7Unverified
4K-AdapterF172Unverified
5MTB Baldini Soares et al. (2019)F171.5Unverified
6KnowBERTF171.5Unverified
7RoBERTaF171.3Unverified
8SpanBERTF170.8Unverified
9ERNIEF168Unverified
10ERNIEF167.97Unverified