45 - Build It, Break It workshop, with Allyson Ettinger and Sudha Rao
How robust is your NLP system? High numbers on co…
38 Minuten
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vor 7 Jahren
How robust is your NLP system? High numbers on common datasets can
be misleading, as most systems are easily fooled by small
modifications that would not be hard for humans to understand.
Allyson Ettinger, Sudha Rao, Hal Daumé III, and Emily Bender
organized a workshop trying to characterize this issue, inviting
participants to either build robust systems, or try to break them
with targeted examples. Allyson and Sudha come on the podcast to
talk about the workshop. We cover the motivation of the workshop,
what a "minimal pair" is, what tasks the workshop focused on and
why, and what the main takeaways of the workshop were.
https://www.semanticscholar.org/paper/Towards-Linguistically-Generalizable-NLP-Systems-A-Ettinger-Rao/8472e999f723a9ccaffc6089b7be1865d8a1b863
be misleading, as most systems are easily fooled by small
modifications that would not be hard for humans to understand.
Allyson Ettinger, Sudha Rao, Hal Daumé III, and Emily Bender
organized a workshop trying to characterize this issue, inviting
participants to either build robust systems, or try to break them
with targeted examples. Allyson and Sudha come on the podcast to
talk about the workshop. We cover the motivation of the workshop,
what a "minimal pair" is, what tasks the workshop focused on and
why, and what the main takeaways of the workshop were.
https://www.semanticscholar.org/paper/Towards-Linguistically-Generalizable-NLP-Systems-A-Ettinger-Rao/8472e999f723a9ccaffc6089b7be1865d8a1b863
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