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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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 421–430 of 445 papers

Title	Date	Tasks	Status	Hype	Score
HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition	Jan 19, 2025	Action RecognitionRelation Classification	—Unverified	0	0
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation	Aug 12, 2020	General ClassificationGraph Generation	—Unverified	0	0
Human brain activity for machine attention	Jun 9, 2020	Dimensionality ReductionEEG	—Unverified	0	0
Implicit Discourse Relation Classification via Multi-Task Neural Networks	Mar 9, 2016	ClassificationGeneral Classification	—Unverified	0	0
Implicit Discourse Relation Classification For Nigerian Pidgin	Jun 26, 2024	ClassificationImplicit Discourse Relation Classification	—Unverified	0	0
Implicit Discourse Relation Classification: We Need to Talk about Evaluation	Jul 1, 2020	ClassificationGeneral Classification	—Unverified	0	0
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation	Jan 14, 2016	ClassificationData Augmentation	—Unverified	0	0
Improved Temporal Relation Classification using Dependency Parses and Selective Crowdsourced Annotations	Dec 1, 2012	Dependency ParsingFeature Engineering	—Unverified	0	0
Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning	Oct 1, 2022	Contrastive LearningData Augmentation	—Unverified	0	0
Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text	Jul 1, 2022	Few-Shot Relation ClassificationRelation	—Unverified	0	0

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All datasets TACRED SemEval-2010 Task-8 FewRel AbstRCT - Neoplasm CDCP Discovery DRI Corpus MATRES

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DeepEx (zero-shot top-10)	F1	76.4	—	Unverified
2	DeepStruct multi-task	F1	74.9	—	Unverified
3	LUKE 483M	F1	72.7	—	Unverified
4	K-Adapter	F1	72	—	Unverified
5	KnowBERT	F1	71.5	—	Unverified
6	MTB Baldini Soares et al. (2019)	F1	71.5	—	Unverified
7	RoBERTa	F1	71.3	—	Unverified
8	SpanBERT	F1	70.8	—	Unverified
9	ERNIE	F1	68	—	Unverified
10	ERNIE	F1	67.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BRCNN	F1	86.3	—	Unverified
2	DRNNs	F1	86.1	—	Unverified
3	depLCNN + NS	F1	85.6	—	Unverified
4	SDP-LSTM	F1	83.7	—	Unverified
5	DepNN	F1	83.6	—	Unverified
6	MVRNN	F1	82.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeepStruct multi-task w/ finetune	F1 (10-way 1-shot)	97.8	—	Unverified
2	DeepEx (zero-shot top-10)	F1	92.9	—	Unverified
3	DeepStruct multi-task	F1 (10-way 1-shot)	92.2	—	Unverified
4	Deepstruct zero-shot	F1 (10-way 1-shot)	67.6	—	Unverified
5	DeepEx (zero-shot top-1)	F1	48.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResAttArg	Macro F1	70.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResAttArg	Macro F1	42.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BERT	1:1 Accuracy	20.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResAttArg	Macro F1	37.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SCS-EERE	F1	0.83	—	Unverified