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
Within-Between Lexical Relation Classification—0
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification—0
RH-Net: Improving Neural Relation Extraction via Reinforcement Learning and Hierarchical Relational SearchingCode0
Meta-Learning for Neural Relation Classification with Distant Supervision—0
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training—0
TDRE: A Tensor Decomposition Based Approach for Relation Extraction—0
Relation Classification as Two-way Span-Prediction—0
小样本关系分类研究综述(Few-Shot Relation Classification: A Survey)—0
Entity Relative Position Representation based Multi-head Selection for Joint Entity and Relation Extraction—0
AutoRC: Improving BERT Based Relation Classification Models via Architecture Search—0
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling AnalysisCode0
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
Implicit Discourse Relation Classification: We Need to Talk about Evaluation—0
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction—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
MPDD: A Multi-Party Dialogue Dataset for Analysis of Emotions and Interpersonal Relationships—0
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations—0
Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives—0
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
Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification—0
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification—0
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
Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks—0
Zero-shot transfer for implicit discourse relation classification—0
TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events—0
EoANN: Lexical Semantic Relation Classification Using an Ensemble of Artificial Neural Networks—0
Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification—0
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical TextCode0
Zero-shot transfer for implicit discourse relation classificationCode0
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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