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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 211–220 of 445 papers

Title	Date	Tasks	Status	Hype
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis	Sep 15, 2020	General ClassificationRelation	—Unverified	0
Semantic Relations and Deep Learning	Sep 11, 2020	Deep LearningRelation Classification	—Unverified	0
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation	Aug 12, 2020	General ClassificationGraph Generation	—Unverified	0
Implicit Discourse Relation Classification: We Need to Talk about Evaluation	Jul 1, 2020	ClassificationGeneral Classification	—Unverified	0
Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction	Jul 1, 2020	Joint Entity and Relation ExtractionRelation	—Unverified	0
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction	Jul 1, 2020	Multi-Task LearningRelation	—Unverified	0
NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing Literature	Jun 23, 2020	ArticlesMachine Translation	CodeCode Available	0
Human brain activity for machine attention	Jun 9, 2020	Dimensionality ReductionEEG	—Unverified	0
Classification de relations pour l'intelligence \'economique et concurrentielle (Relation Classification for Competitive and Economic Intelligence )	Jun 1, 2020	ClassificationGeneral Classification	—Unverified	0
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations	May 1, 2020	General ClassificationMulti-Task Learning	—Unverified	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