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 1–50 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
Assessing Open-Source Large Language Models on Argumentation Mining Subtasks—0
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and DomainsCode0
Local and Global Graph Modeling with Edge-weighted Graph Attention Network for Handwritten Mathematical Expression Recognition—0
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?Code0
Konstruktor: A Strong Baseline for Simple Knowledge Graph Question AnsweringCode0
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features—0
LLM with Relation Classifier for Document-Level Relation ExtractionCode0
Multimodal Relational Triple Extraction with Query-based Entity Object Transformer—0
A Global-Local Attention Mechanism for Relation Classification—0
Implicit Discourse Relation Classification For Nigerian Pidgin—0
Description Boosting for Zero-Shot Entity and Relation ClassificationCode3
OED: Towards One-stage End-to-End Dynamic Scene Graph GenerationCode1
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery—0
An Analysis of Sentential Neighbors in Implicit Discourse Relation Prediction—0
How to Encode Domain Information in Relation ClassificationCode2
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity LinkingCode1
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation LearningCode0
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context InformationCode0
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification—0
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information ExtractionCode0
Prompting Implicit Discourse Relation Annotation—0
Graph Language ModelsCode2
Noise in Relation Classification Dataset TACRED: Characterization and Reduction—0
Improving Vision-and-Language Reasoning via Spatial Relations Modeling—0
Discourse Relations Classification and Cross-Framework Discourse Relation Classification Through the Lens of Cognitive Dimensions: An Empirical Investigation—0
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning—0
CreoleVal: Multilingual Multitask Benchmarks for CreolesCode1
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods—0
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain AdaptationCode0
Rethinking Relation Classification with Graph Meaning Representations—0
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming—0
Rationale-Enhanced Language Models are Better Continual Relation LearnersCode1
Multiple Relations Classification using Imbalanced Predictions AdaptationCode0
Advancing Relation Extraction through Language Probing with Exemplars from Set Co-Expansion—0
Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation ClassificationCode0
Explaining Relation Classification Models with Semantic ExtentsCode0
Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates—0
A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification—0
Mutually Guided Few-shot Learning for Relational Triple ExtractionCode0
Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective GenerationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepEx (zero-shot top-10)F176.4—Unverified
2DeepStruct multi-taskF174.9—Unverified
3LUKE 483MF172.7—Unverified
4K-AdapterF172—Unverified
5KnowBERTF171.5—Unverified
6MTB Baldini Soares et al. (2019)F171.5—Unverified
7RoBERTaF171.3—Unverified
8SpanBERTF170.8—Unverified
9ERNIEF168—Unverified
10ERNIEF167.97—Unverified
#ModelMetricClaimedVerifiedStatus
1BRCNNF186.3—Unverified
2DRNNsF186.1—Unverified
3depLCNN + NSF185.6—Unverified
4SDP-LSTMF183.7—Unverified
5DepNNF183.6—Unverified
6MVRNNF182.4—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF1 (10-way 1-shot)97.8—Unverified
2DeepEx (zero-shot top-10)F192.9—Unverified
3DeepStruct multi-taskF1 (10-way 1-shot)92.2—Unverified
4Deepstruct zero-shotF1 (10-way 1-shot)67.6—Unverified
5DeepEx (zero-shot top-1)F148.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F170.92—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F142.95—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT1:1 Accuracy20.6—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F137.72—Unverified
#ModelMetricClaimedVerifiedStatus
1SCS-EEREF10.83—Unverified