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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 41–50 of 445 papers

Title	Date	Tasks	Status	Hype
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition	Jun 28, 2021	named-entity-recognitionNamed Entity Recognition	CodeCode Available	1
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification	Apr 27, 2020	Discourse ParsingGeneral Classification	CodeCode Available	1
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples	Nov 22, 2021	Knowledge GraphsLanguage Modeling	CodeCode Available	1
Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge Bases	Oct 1, 2022	Entity DisambiguationForm	CodeCode Available	1
Matching the Blanks: Distributional Similarity for Relation Learning	Jun 7, 2019	Few-Shot Relation ClassificationRelation	CodeCode Available	1
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
PTR: Prompt Tuning with Rules for Text Classification	May 24, 2021	ClassificationNatural Language Inference	CodeCode Available	1
RankDNN: Learning to Rank for Few-shot Learning	Nov 28, 2022	Few-Shot Learningimage-classification	CodeCode Available	1
AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification	Jul 12, 2022	Drug DiscoveryRelation Classification	CodeCode Available	1
The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation Classification	Oct 19, 2020	ClassificationGeneral Classification	CodeCode Available	1

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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