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Probe-ably (Neural Network probing made easy)

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. Naive probing studies may have misleading results, but various recent works have suggested more reliable methodologies that compensate for the possible pitfalls of probing. However, these best practices are numerous and fast-evolving. To simplify the process of running a set of probing experiments in line with suggested methodologies, we introduce Probe-Ably: an extendable probing framework which supports and automates the application of probing methods to the user's inputs. References: Published at ACL 2021 @misc{ferreira2021does, title={Does My Representation Capture X? Probe-Ably}, author={Deborah Ferreira and Julia Rozanova and Mokanarangan Thayaparan and Marco Valentino and André Freitas}, year={2021}, eprint={2104.05807}, archivePrefix={arXiv}, primaryClass={cs.LG} }