Neural rationale models are popular for interpretable predictions of NLP tasks . In these, a selector extracts segments of the input text, calledrationales, and passes these segments to a classifier for prediction . We call for more rigorous evaluations of these models to ensure desired properties ofinterpretability are achieved . The code can be found athttps://://:// The code is available to download and use in the wild .

Author(s) : Yiming Zheng, Serena Booth, Julie Shah, Yilun Zhou

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Code :

Keywords : neural - rationale - models - code - segments -

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