Few-Shot Text Classification
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Greatest papers with code
Few-shot Text Classification with Distributional Signatures
ICLR 2020
• YujiaBao/Distributional-Signatures
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In this paper, we explore meta-learning for few-shot text classification.
FEW-SHOT TEXT CLASSIFICATION META-LEARNING RELATION CLASSIFICATION TEXT CLASSIFICATION
Few-Shot Text Classification with Pre-Trained Word Embeddings and a Human in the Loop
Our work aims to make it possible to classify an entire corpus of unlabeled documents using a human-in-the-loop approach, where the content owner manually classifies just one or two documents per category and the rest can be automatically classified.
FEW-SHOT LEARNING FEW-SHOT TEXT CLASSIFICATION TEXT CLASSIFICATION WORD EMBEDDINGS
Diverse Few-Shot Text Classification with Multiple Metrics
NAACL 2018
• Gorov/DiverseFewShot_Amazon
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We study few-shot learning in natural language domains.
FEW-SHOT LEARNING FEW-SHOT TEXT CLASSIFICATION INTENT CLASSIFICATION METRIC LEARNING SENTIMENT ANALYSIS TEXT CLASSIFICATION
When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification
• zxlzr/FewShotNLP
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Text classification tends to be difficult when data are deficient or when it is required to adapt to unseen classes.
FEW-SHOT LEARNING FEW-SHOT TEXT CLASSIFICATION LANGUAGE MODELLING SENTIMENT ANALYSIS TEXT CLASSIFICATION
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
• timoschick/pet
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Some NLP tasks can be solved in a fully unsupervised fashion by providing a pretrained language model with "task descriptions" in natural language (e. g., Radford et al., 2019).
FEW-SHOT TEXT CLASSIFICATION LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE TEXT CLASSIFICATION
Induction Networks for Few-Shot Text Classification
IJCNLP 2019
• laohur/LearnToCompareText
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Therefore, we should be able to learn a general representation of each class in the support set and then compare it to new queries.
FEW-SHOT TEXT CLASSIFICATION INTENT CLASSIFICATION META-LEARNING SENTIMENT ANALYSIS TEXT CLASSIFICATION