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 201–250 of 445 papers

TitleStatusHype
AutoRC: Improving BERT Based Relation Classification Models via Architecture Search—0
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling AnalysisCode0
UPB at SemEval-2020 Task 6: Pretrained Language Models for Definition ExtractionCode1
Semantic Relations and Deep Learning—0
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation—0
Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction—0
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction—0
Implicit Discourse Relation Classification: We Need to Talk about Evaluation—0
NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing LiteratureCode0
Human brain activity for machine attention—0
Classification de relations pour l'intelligence \'economique et concurrentielle (Relation Classification for Competitive and Economic Intelligence )—0
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation ExtractionCode1
MPDD: A Multi-Party Dialogue Dataset for Analysis of Emotions and Interpersonal Relationships—0
Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives—0
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations—0
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation ClassificationCode1
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data—0
Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification—0
Relation Transformer NetworkCode1
SelfORE: Self-supervised Relational Feature Learning for Open Relation ExtractionCode1
Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification—0
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification—0
K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersCode1
A Neural Approach to Discourse Relation Signal Detection—0
Learning to Relate from Captions and Bounding Boxes—0
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction—0
Improving Relation Classification by Entity Pair Graph—0
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language RepresentationCode0
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERTCode0
Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains—0
Representing Movie Characters in Dialogues—0
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation—0
Biomedical Relation Classification by single and multiple source domain adaptation—0
Semantic Graph Convolutional Network for Implicit Discourse Relation Classification—0
FewRel 2.0: Towards More Challenging Few-Shot Relation ClassificationCode0
Type-aware Convolutional Neural Networks for Slot Filling—0
Argumentative Relation Classification as Plausibility Ranking—0
Span-based Joint Entity and Relation Extraction with Transformer Pre-trainingCode0
Knowledge Enhanced Contextual Word RepresentationsCode0
Specializing Unsupervised Pretraining Models for Word-Level Semantic SimilarityCode0
EoANN: Lexical Semantic Relation Classification Using an Ensemble of Artificial Neural Networks—0
Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks—0
Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification—0
TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events—0
Zero-shot transfer for implicit discourse relation classification—0
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical TextCode0
Few-shot Text Classification with Distributional SignaturesCode1
Zero-shot transfer for implicit discourse relation classificationCode0
SpanBERT: Improving Pre-training by Representing and Predicting SpansCode0
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints—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
5MTB Baldini Soares et al. (2019)F171.5—Unverified
6KnowBERTF171.5—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