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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 161–170 of 445 papers

Title	Date	Tasks	Status	Hype	Score
Direct Fact Retrieval from Knowledge Graphs without Entity Linking	May 21, 2023	Entity DisambiguationEntity Linking	—Unverified	0	0
Bidirectional Recurrent Convolutional Neural Network for Relation Classification	Aug 1, 2016	ClassificationGeneral Classification	—Unverified	0	0
Bidirectional Long Short-Term Memory Networks for Relation Classification	Oct 1, 2015	ClassificationGeneral Classification	—Unverified	0	0
A non-DNN Feature Engineering Approach to Dependency Parsing -- FBAML at CoNLL 2017 Shared Task	Aug 1, 2017	Dependency ParsingFeature Engineering	—Unverified	0	0
Dependency Based Embeddings for Sentence Classification Tasks	Jun 1, 2016	ChunkingClassification	—Unverified	0	0
Dense Event Ordering with a Multi-Pass Architecture	Jan 1, 2014	Relation ClassificationTemporal Information Extraction	—Unverified	0	0
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification	Mar 5, 2024	Few-Shot Relation ClassificationRelation	—Unverified	0	0
Semantic Relations and Deep Learning	Sep 11, 2020	Deep LearningRelation Classification	—Unverified	0	0
A VSM-based Statistical Model for the Semantic Relation Interpretation of Noun-Modifier Pairs	Sep 1, 2015	Question AnsweringRelation	—Unverified	0	0
CVAE-based Re-anchoring for Implicit Discourse Relation Classification	Nov 1, 2021	Binary ClassificationClassification	—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	MTB Baldini Soares et al. (2019)	F1	71.5	—	Unverified
6	KnowBERT	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