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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 51–60 of 445 papers

Title	Date	Tasks	Status	Hype
Direct Fact Retrieval from Knowledge Graphs without Entity Linking	May 21, 2023	Entity DisambiguationEntity Linking	—Unverified	0
About Evaluation of F1 Score for RECENT Relation Extraction System	May 16, 2023	RelationRelation Classification	—Unverified	0
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling	May 14, 2023	named-entity-recognitionNamed Entity Recognition	CodeCode Available	1
Evaluating BERT-based Scientific Relation Classifiers for Scholarly Knowledge Graph Construction on Digital Library Collections	May 3, 2023	graph constructionOptical Character Recognition	—Unverified	0
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness	May 2, 2023	Entity LinkingLanguage Modeling	—Unverified	0
ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations	Apr 28, 2023	Discourse ParsingIn-Context Learning	—Unverified	0
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph	Apr 14, 2023	ClassificationContrastive Learning	—Unverified	0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies	Apr 3, 2023	Chemical-Protein Interaction Extractionnamed-entity-recognition	—Unverified	0
End-to-End n-ary Relation Extraction for Combination Drug Therapies	Mar 29, 2023	ArticlesDrug–drug Interaction Extraction	CodeCode Available	0
Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification	Mar 27, 2023	ClassificationHate Speech Detection	CodeCode Available	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