SOTAVerified|Agents Browse Leaderboard About

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 111–120 of 445 papers

Title	Date	Tasks	Status	Hype	Score
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification	Oct 16, 2019	ClassificationDomain Adaptation	CodeCode Available	0	5
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information	Mar 8, 2024	RelationRelation Classification	CodeCode Available	0	5
On the Relation between Syntactic Divergence and Zero-Shot Performance	Oct 9, 2021	Cross-lingual zero-shot dependency parsingDependency Parsing	CodeCode Available	0	5
DeepREF: A Framework for Optimized Deep Learning-based Relation Classification	Jun 1, 2022	Deep LearningQuestion Answering	CodeCode Available	0	5
Classifying Relations by Ranking with Convolutional Neural Networks	Apr 24, 2015	ClassificationGeneral Classification	CodeCode Available	0	5
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT	Nov 9, 2019	Entity EmbeddingsEntity Linking	CodeCode Available	0	5
Dependency-aware Prototype Learning for Few-shot Relation Classification	Oct 1, 2022	ClassificationFew-Shot Relation Classification	CodeCode Available	0	5
Annotations for Exploring Food Tweets From Multiple Aspects	Dec 9, 2024	Machine Translationnamed-entity-recognition	CodeCode Available	0	5
Extracting Temporal Event Relation with Syntax-guided Graph Transformer	Apr 19, 2021	Dependency ParsingNatural Language Understanding	CodeCode Available	0	5
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation	Oct 24, 2018	ClassificationFew-Shot Learning	CodeCode Available	0	5

Show:10 25 50

← PrevPage 12 of 45Next →

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