This paper presents a summary of the first Workshop on Building Linguistically Generalizable Natural Language Processing Systems, and the associated Build It Break It, The Language Edition shared task. The goal of this workshop was to bring together researchers in NLP and linguistics with a shared task aimed at testing the generalizability of NLP systems beyond the distributions of their training data. We describe the motivation, setup, and participation of the shared task, provide discussion of some highlighted results, and discuss lessons learned.
Generation of adversarial examples has also been used to increase the robustness of NLP systems as part of the Build it, Break It, The Language Edition Workshop REF .
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task
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Computer Science