A few-shot text classifier that learns attention from distributional word statistics (frequency and class skew) generalizes to unseen classes better than lexical-feature meta-learners.
Fewrel: A large-scale supervised few-shot relation classification dataset with state-of-the-art evaluation
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Few-shot Text Classification with Distributional Signatures
A few-shot text classifier that learns attention from distributional word statistics (frequency and class skew) generalizes to unseen classes better than lexical-feature meta-learners.