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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 401–410 of 445 papers

Title	Date	Tasks	Status	Hype
Spectral Semi-Supervised Discourse Relation Classification	Jul 1, 2015	ClassificationGeneral Classification	—Unverified	0
Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling	Jun 25, 2015	General ClassificationRelation	—Unverified	0
Relation Extraction: Perspective from Convolutional Neural Networks	Jun 1, 2015	ChunkingFeature Engineering	—Unverified	0
BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge	Jun 1, 2015	Question AnsweringRelation Classification	—Unverified	0
SpRL-CWW: Spatial Relation Classification with Independent Multi-class Models	Jun 1, 2015	ClassificationGeneral Classification	—Unverified	0
Improved Relation Extraction with Feature-Rich Compositional Embedding Models	May 10, 2015	RelationRelation Classification	CodeCode Available	0
Hands-on Learning to Search for Structured Prediction	May 1, 2015	Decision MakingDependency Parsing	—Unverified	0
Chain Based RNN for Relation Classification	May 1, 2015	ClassificationDependency Parsing	—Unverified	0
Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives	May 1, 2015	Discourse ParsingNatural Language Understanding	—Unverified	0
Embedding Semantic Relations into Word Representations	May 1, 2015	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