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        <title>Does My Representation Capture X? Probe-Ably</title>
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        <namePart type="given">Deborah</namePart>
        <namePart type="family">Ferreira</namePart>
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        <namePart type="family">Rozanova</namePart>
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    <name type="personal">
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    <abstract>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.</abstract>
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%0 Conference Proceedings
%T Does My Representation Capture X? Probe-Ably
%A Ferreira, Deborah
%A Rozanova, Julia
%A Thayaparan, Mokanarangan
%A Valentino, Marco
%A Freitas, André
%Y Ji, Heng
%Y Park, Jong C.
%Y Xia, Rui
%S Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F ferreira-etal-2021-representation
%X 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.
%R 10.18653/v1/2021.acl-demo.23
%U https://aclanthology.org/2021.acl-demo.23
%U https://doi.org/10.18653/v1/2021.acl-demo.23
%P 194-201

Markdown (Informal)

[Does My Representation Capture X? Probe-Ably](https://aclanthology.org/2021.acl-demo.23) (Ferreira et al., ACL-IJCNLP 2021)

• Does My Representation Capture X? Probe-Ably (Ferreira et al., ACL-IJCNLP 2021)

ACL

• Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, and André Freitas. 2021. Does My Representation Capture X? Probe-Ably. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 194–201, Online. Association for Computational Linguistics.