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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 171–180 of 445 papers

Title	Date	Tasks	Status	Hype
CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification	Dec 12, 2020	Hypernym DiscoveryLanguage Modeling	CodeCode Available	0
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues	Dec 4, 2020	Dialog Relation ExtractionGeneral Classification	CodeCode Available	1
CollFrEn: Rich Bilingual English–French Collocation Resource	Dec 1, 2020	Machine TranslationRelation Classification	CodeCode Available	0
Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network	Dec 1, 2020	Few-Shot Text ClassificationGraph Neural Network	—Unverified	0
A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification	Dec 1, 2020	Few-Shot LearningFew-Shot Relation Classification	—Unverified	0
RIVA: A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER	Dec 1, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Meta-Information Guided Meta-Learning for Few-Shot Relation Classification	Dec 1, 2020	ClassificationFew-Shot Relation Classification	CodeCode Available	0
Using a Penalty-based Loss Re-estimation Method to Improve Implicit Discourse Relation Classification	Dec 1, 2020	Implicit Discourse Relation ClassificationRelation	—Unverified	0
ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction	Dec 1, 2020	ClassificationDefinition Extraction	—Unverified	0
Gorynych Transformer at SemEval-2020 Task 6: Multi-task Learning for Definition Extraction	Dec 1, 2020	ClassificationDefinition Extraction	—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	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