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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 161–170 of 445 papers

Title	Date	Tasks	Status	Hype
Errata: Distant Supervision for Relation Extraction with Matrix Completion	Nov 17, 2014	ClassificationGeneral Classification	—Unverified	0
ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction	Apr 5, 2018	General ClassificationRelation Classification	—Unverified	0
Evaluating BERT-based Scientific Relation Classifiers for Scholarly Knowledge Graph Construction on Digital Library Collections	May 3, 2023	graph constructionOptical Character Recognition	—Unverified	0
Evaluating Distributional Models of Semantics for Syntactically Invariant Inference	Apr 1, 2012	Relation Classification	—Unverified	0
ClearTK-TimeML: A minimalist approach to TempEval 2013	Jun 1, 2013	ChunkingRelation Classification	—Unverified	0
A Single Attention-Based Combination of CNN and RNN for Relation Classification	Feb 6, 2019	General ClassificationRelation	—Unverified	0
ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification	Jul 1, 2019	ClassificationGeneral Classification	—Unverified	0
Argument Relation Classification Using a Joint Inference Model	Sep 1, 2017	Argument MiningClassification	—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
Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives	May 1, 2020	General ClassificationImplicit Discourse Relation Classification	—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	MTB Baldini Soares et al. (2019)	F1	71.5	—	Unverified
6	KnowBERT	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