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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 421–430 of 445 papers

Title	Date	Tasks	Status	Hype
Combining Word Patterns and Discourse Markers for Paradigmatic Relation Classification	Jun 1, 2014	ClassificationGeneral Classification	—Unverified	0
Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora	Jun 1, 2014	Active LearningClassification	—Unverified	0
Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns	Apr 1, 2014	Coreference ResolutionImplicit Discourse Relation Classification	—Unverified	0
Distributional Lexical Entailment by Topic Coherence	Apr 1, 2014	Lexical EntailmentRelation Classification	—Unverified	0
Classifying Temporal Relations with Simple Features	Apr 1, 2014	Dependency ParsingRelation Classification	—Unverified	0
Experiments with Three Approaches to Recognizing Lexical Entailment	Jan 31, 2014	General ClassificationLexical Entailment	CodeCode Available	0
Dense Event Ordering with a Multi-Pass Architecture	Jan 1, 2014	Relation ClassificationTemporal Information Extraction	—Unverified	0
A Semantic-Based Approach to Noun-Noun Compound Interpretation	Oct 1, 2013	Relation Classification	—Unverified	0
Simple Customization of Recursive Neural Networks for Semantic Relation Classification	Oct 1, 2013	ClassificationGeneral Classification	—Unverified	0
Temporal Relation Classification in Persian and English contexts	Sep 1, 2013	ClassificationGeneral 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