Papers with diagnostic classification

2 papers
Does My Representation Capture X? Probe-Ably (2021.acl-demo)

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Challenge: Probing (or diagnostic classification) has become a popular strategy for investigating whether a given set of intermediate features is present in the representations of neural models.
Approach: They propose to use an extendable probing framework to automate the application of probing methods to the user’s inputs.
Outcome: The proposed framework automates the application of probing methods to the user’s inputs.
An information theoretic view on selecting linguistic probes (2020.emnlp-main)

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Challenge: Recent advances in NLP tasks require a question of how much linguistic knowledge is encoded in neural networks.
Approach: They propose to use diagnostic classifiers to perform supervised classification from internal representations.
Outcome: Empirically, the two proposed criteria lead to results that agree with each other.

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