Papers with large-scale text classification task

1 papers
Multi-pretraining for Large-scale Text Classification (2020.findings-emnlp)

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Challenge: Existing methods for large-scale text classification involve excessive computation and memory overheads.
Approach: They propose a self-supervised and weakly supervised pretraining frameworks for large-scale text classification with multiple categories.
Outcome: The proposed framework improves on the self-supervised and weakly supervised methods while being computationally efficient.

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