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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 321–330 of 445 papers

Title	Date	Tasks	Status	Hype
Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text	Aug 1, 2017	ArticlesClassification	—Unverified	0
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training	Oct 21, 2020	Few-Shot Relation ClassificationRelation	—Unverified	0
Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification	Nov 5, 2018	ClassificationDiscourse Parsing	—Unverified	0
Learning to Relate from Captions and Bounding Boxes	Dec 1, 2019	Image CaptioningRelation Classification	—Unverified	0
Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks	Nov 1, 2017	Knowledge Base PopulationQuestion Answering	—Unverified	0
Let's be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction	Jun 6, 2021	ClassificationImplicit Discourse Relation Classification	—Unverified	0
Let’s be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction	Aug 1, 2021	ClassificationImplicit Discourse Relation Classification	—Unverified	0
LightRel at SemEval-2018 Task 7: Lightweight and Fast Relation Classification	Jun 1, 2018	Feature EngineeringGeneral Classification	—Unverified	0
LightRel SemEval-2018 Task 7: Lightweight and Fast Relation Classification	Apr 19, 2018	ClassificationGeneral Classification	—Unverified	0
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation	Aug 5, 2018	Decision MakingRelation 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	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