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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 241–250 of 445 papers

Title	Date	Tasks	Status	Hype	Score
SpRL-CWW: Spatial Relation Classification with Independent Multi-class Models	Jun 1, 2015	ClassificationGeneral Classification	—Unverified	0	0
Stochastic Learning of Multi-Instance Dictionary for Earth Mover's Distance based Histogram Comparison	Sep 3, 2016	Dictionary LearningImage Retrieval	—Unverified	0	0
Structure Regularized Bidirectional Recurrent Convolutional Neural Network for Relation Classification	Nov 6, 2017	ClassificationGeneral Classification	—Unverified	0	0
Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text	Mar 15, 2018	General ClassificationRelation	—Unverified	0	0
Subgraph-based Classification of Explicit and Implicit Discourse Relations	Mar 1, 2013	ClassificationGeneral Classification	—Unverified	0	0
Supervised Relation Classification as Two-way Span-Prediction	Sep 17, 2021	ClassificationPrediction	—Unverified	0	0
Syntactic Dependency Representations in Neural Relation Classification	May 28, 2018	ClassificationGeneral Classification	—Unverified	0	0
Systems' Agreements and Disagreements in Temporal Processing: An Extensive Error Analysis of the TempEval-3 Task	May 1, 2018	Natural Language InferenceQuestion Answering	—Unverified	0	0
Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification	Mar 3, 2018	General ClassificationImplicit Discourse Relation Classification	—Unverified	0	0
TakeLab at SemEval-2018 Task 7: Combining Sparse and Dense Features for Relation Classification in Scientific Texts	Jun 1, 2018	General 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