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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 171–180 of 445 papers

Title	Date	Tasks	Status	Hype
Exploring Vector Spaces for Semantic Relations	Sep 1, 2017	ClusteringGeneral Classification	—Unverified	0
Extracting Drug-Drug Interactions with Attention CNNs	Aug 1, 2017	Feature EngineeringGeneral Classification	—Unverified	0
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks	Dec 1, 2016	Machine TranslationParaphrase Generation	—Unverified	0
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification	Jan 10, 2021	Few-Shot Relation ClassificationRelation	—Unverified	0
Argument Relation Classification Using a Joint Inference Model	Sep 1, 2017	Argument MiningClassification	—Unverified	0
Assessing Open-Source Large Language Models on Argumentation Mining Subtasks	Nov 8, 2024	ARCRelation Classification	—Unverified	0
A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification	Oct 18, 2021	ClassificationRelation	—Unverified	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
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	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