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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 361–370 of 445 papers

Title	Date	Tasks	Status	Hype	Score
Combining Word Patterns and Discourse Markers for Paradigmatic Relation Classification	Jun 1, 2014	ClassificationGeneral Classification	—Unverified	0	0
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling	Mar 16, 2016	ClassificationGeneral Classification	—Unverified	0	0
Comparing Word Representations for Implicit Discourse Relation Classification	Sep 1, 2015	ClassificationFeature Engineering	—Unverified	0	0
Composite Semantic Relation Classification	May 16, 2018	BIG-bench Machine LearningClassification	—Unverified	0	0
Context-aware Argumentative Relation Mining	Aug 1, 2016	Argument MiningDocument Summarization	—Unverified	0	0
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph	Apr 14, 2023	ClassificationContrastive Learning	—Unverified	0	0
Cross Domain Few-Shot Learning via Meta Adversarial Training	Feb 11, 2022	Cross-Domain Few-Shotcross-domain few-shot learning	—Unverified	0	0
Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system	Aug 1, 2014	General ClassificationMachine Translation	—Unverified	0	0
Cross-Network Learning with Partially Aligned Graph Convolutional Networks	Jun 3, 2021	Knowledge GraphsLink Prediction	—Unverified	0	0
Customized Attention Mechanism for Relation Classification	Dec 1, 2018	ClassificationRelation	—Unverified	0	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