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Few-Shot Text Classification

Few-shot Text Classification predicts the semantic label of a given text with a handful of supporting instances 1

Papers

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Showing 81–90 of 100 papers

Title	Date	Tasks	Status	Hype
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System	Apr 24, 2021	ClassificationFew-Shot Text Classification	CodeCode Available	1
Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference	Apr 1, 2021	Few-Shot Text ClassificationLanguage Modeling	—Unverified	0
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning	Mar 12, 2021	ClassificationData Augmentation	CodeCode Available	1
A Neural Few-Shot Text Classification Reality Check	Jan 28, 2021	ClassificationFew-Shot Text Classification	CodeCode Available	1
Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network	Dec 1, 2020	Few-Shot Text ClassificationGraph Neural Network	—Unverified	0
Effective Few-Shot Classification with Transfer Learning	Dec 1, 2020	ClassificationFew-Shot Learning	—Unverified	0
Uncertainty-aware Self-training for Few-shot Text Classification	Dec 1, 2020	ClassificationFew-Shot Text Classification	—Unverified	0
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification	Oct 26, 2020	Few-Shot Text ClassificationGeneral Classification	CodeCode Available	2
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications	May 24, 2020	Few-Shot Text ClassificationLanguage Modeling	—Unverified	0
Dynamic Memory Induction Networks for Few-Shot Text Classification	May 12, 2020	ClassificationFew-Shot Learning	—Unverified	0

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All datasets RAFT Average on NLP datasets Amazon Counterfeit ODIC 10-way (10-shot)ODIC 10-way (5-shot)ODIC 5-way (10-shot)ODIC 5-way (5-shot)SST-5

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	T-Few	Avg	0.76	—	Unverified
2	Human (crowdsourced)	Avg	0.74	—	Unverified
3	GPT-3	Avg	0.63	—	Unverified
4	AdaBoost	Avg	0.51	—	Unverified
5	GPT-Neo	Avg	0.48	—	Unverified
6	GPT-2	Avg	0.46	—	Unverified
7	BART MNLI zero-shot	Avg	0.38	—	Unverified
8	Plurality-class	Avg	0.33	—	Unverified
9	GPT-3 zero-shot	Avg	0.29	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SetFit + OCD(5)	Accuracy	0.65	—	Unverified
2	SetFit + OCD	Accuracy	0.64	—	Unverified
3	T-few 3B	Accuracy	0.63	—	Unverified
4	SetFit	Accuracy	0.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SetFit + OCD	Accuracy	0.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Induction Networks	Accuracy	81.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Induction Networks	Accuracy	78.27	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Induction Networks	Accuracy	88.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Induction Networks	Accuracy	87.16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SetFit + OCD	Accuracy	0.48	—	Unverified