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

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Showing 51–100 of 445 papers

TitleStatusHype
Direct Fact Retrieval from Knowledge Graphs without Entity Linking—0
About Evaluation of F1 Score for RECENT Relation Extraction System—0
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema ModelingCode1
Evaluating BERT-based Scientific Relation Classifiers for Scholarly Knowledge Graph Construction on Digital Library Collections—0
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness—0
ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations—0
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph—0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies—0
End-to-End n-ary Relation Extraction for Combination Drug TherapiesCode0
Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal ClassificationCode0
DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction DatasetCode1
LabelPrompt: Effective Prompt-based Learning for Relation Classification—0
A Marker-based Neural Network System for Extracting Social Determinants of Health—0
RankDNN: Learning to Rank for Few-shot LearningCode1
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification—0
Multilingual Relation Classification via Efficient and Effective PromptingCode1
Generative Prompt Tuning for Relation ClassificationCode1
PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure TextCode0
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification—0
CrossRE: A Cross-Domain Dataset for Relation ExtractionCode1
Label distributions help implicit discourse relation classificationCode0
Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge BasesCode1
Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs—0
Dependency-aware Prototype Learning for Few-shot Relation ClassificationCode0
Multi-Perspective Document Revision—0
How about Time? Probing a Multilingual Language Model for Temporal RelationsCode0
Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning—0
Zero-shot Event Causality Identification with Question Answering—0
AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classificationCode1
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy—0
Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text—0
RCL: Relation Contrastive Learning for Zero-Shot Relation ExtractionCode0
OPI at SemEval-2022 Task 10: Transformer-based Sequence Tagging with Relation Classification for Structured Sentiment AnalysisCode0
Enhancing Targeted Minority Class Prediction in Sentence-Level Relation ExtractionCode0
DeepREF: A Framework for Optimized Deep Learning-based Relation ClassificationCode0
DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse RelationsCode0
Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation ExtractionCode1
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language UnderstandingCode1
DeepStruct: Pretraining of Language Models for Structure PredictionCode1
Why only Micro-F1? Class Weighting of Measures for Relation ClassificationCode0
Unified Semantic Typing with Meaningful Label InferenceCode0
Few-Shot Document-Level Relation ExtractionCode1
Visually Grounded Interpretation of Noun-Noun Compounds in English—0
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation ClassificationCode0
Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification—0
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification—0
Selecting Optimal Context Sentences for Event-Event Relation ExtractionCode1
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet ExtractionCode1
EPPAC: Entity Pre-typing Relation Classification with Prompt AnswerCentralizing—0
Automatically Generating Counterfactuals for Relation Classification—0
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All datasetsTACREDSemEval-2010 Task-8FewRelAbstRCT - NeoplasmCDCPDiscoveryDRI CorpusMATRES

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