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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 131–140 of 445 papers

Title	Date	Tasks	Status	Hype
A Single Attention-Based Combination of CNN and RNN for Relation Classification	Feb 6, 2019	General ClassificationRelation	—Unverified	0
Classifying Temporal Relations with Rich Linguistic Knowledge	Jun 1, 2013	Relation ClassificationTemporal Information Extraction	—Unverified	0
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths	Jul 1, 2017	General ClassificationQuestion Answering	—Unverified	0
A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification	Jul 7, 2023	Discourse ParsingImplicit Discourse Relation Classification	—Unverified	0
A Joint Framework for Argumentative Text Analysis Incorporating Domain Knowledge	Jan 19, 2017	General ClassificationRelation	—Unverified	0
Enhancing Question Generation with Commonsense Knowledge	Jun 19, 2021	Multi-Task LearningQuestion Generation	—Unverified	0
Entity Relative Position Representation based Multi-head Selection for Joint Entity and Relation Extraction	Oct 1, 2020	Joint Entity and Relation ExtractionLanguage Modeling	—Unverified	0
Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention	Aug 1, 2017	Feature EngineeringGeneral Classification	—Unverified	0
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths	Sep 1, 2015	Question AnsweringRelation Classification	—Unverified	0
A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events	Jul 23, 2017	RelationRelation 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