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 391–400 of 445 papers

Title	Date	Tasks	Status	Hype
Temporal Relation Classification using a Model of Tense and Aspect	Sep 1, 2015	General ClassificationRelation	—Unverified	0
A VSM-based Statistical Model for the Semantic Relation Interpretation of Noun-Modifier Pairs	Sep 1, 2015	Question AnsweringRelation	—Unverified	0
Comparing Word Representations for Implicit Discourse Relation Classification	Sep 1, 2015	ClassificationFeature Engineering	—Unverified	0
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths	Sep 1, 2015	Question AnsweringRelation Classification	—Unverified	0
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path	Aug 15, 2015	ClassificationGeneral Classification	—Unverified	0
Relation Classification via Recurrent Neural Network	Aug 5, 2015	ClassificationFeature Engineering	CodeCode Available	0
A Dependency-Based Neural Network for Relation Classification	Jul 16, 2015	ClassificationGeneral Classification	—Unverified	0
Shallow Discourse Parsing with Syntactic and (a Few) Semantic Features	Jul 1, 2015	Discourse ParsingRelation Classification	—Unverified	0
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity	Jul 1, 2015	Machine TranslationParaphrase Identification	—Unverified	0
The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification	Jul 1, 2015	General ClassificationRelation Classification	—Unverified	0

Show:10 25 50

← PrevPage 40 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