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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 211–220 of 445 papers

Title	Date	Tasks	Status	Hype
Classification de relations pour l'intelligence \'economique et concurrentielle (Relation Classification for Competitive and Economic Intelligence )	Jun 1, 2020	ClassificationGeneral Classification	—Unverified	0
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction	May 26, 2020	Knowledge Graph CompletionMultiple Instance Learning	CodeCode Available	1
MPDD: A Multi-Party Dialogue Dataset for Analysis of Emotions and Interpersonal Relationships	May 1, 2020	RelationRelation 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
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations	May 1, 2020	General ClassificationMulti-Task Learning	—Unverified	0
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification	Apr 27, 2020	Discourse ParsingGeneral Classification	CodeCode Available	1
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data	Apr 26, 2020	ClassificationFew-Shot Learning	—Unverified	0
Relation Transformer Network	Apr 13, 2020	DecoderGraph Generation	CodeCode Available	1
Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification	Apr 13, 2020	ClassificationGeneral Classification	—Unverified	0
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction	Apr 6, 2020	ClusteringLanguage Modeling	CodeCode Available	1

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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