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Few-Shot Text Classification

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Few-Shot Text Classification with Pre-Trained Word Embeddings and a Human in the Loop

5 Apr 2018katbailey/few-shot-text-classification

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

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

21 Jan 2020timoschick/pet

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