Papers with downstream sentiment classification task

1 papers
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT (2020.acl-main)

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Challenge: Recent pre-trained language models achieve state-of-the-art performance for downstream NLP tasks.
Approach: They propose a parameter-free probing technique for analyzing pre-trained language models . their method does not require direct supervision from probing tasks .
Outcome: The proposed method improves on linguistically-uninformed baselines on pre-trained language models.

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