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Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims
TLDR
A thorough analysis of the dataset is provided to highlight key underlying language understanding challenges, and it is shown that human baselines across multiple subtasks far outperform ma-chine baselines built upon state-of-the-art NLP techniques. Expand
Evaluating Models’ Local Decision Boundaries via Contrast Sets
TLDR
A more rigorous annotation paradigm for NLP that helps to close systematic gaps in the test data, and recommends that the dataset authors manually perturb the test instances in small but meaningful ways that (typically) change the gold label, creating contrast sets. Expand
Evaluating NLP Models via Contrast Sets
TLDR
A new annotation paradigm for NLP is proposed that helps to close systematic gaps in the test data, and it is recommended that after a dataset is constructed, the dataset authors manually perturb the test instances in small but meaningful ways that change the gold label, creating contrast sets. Expand
PerspectroScope: A Window to the World of Diverse Perspectives
This work presents PerspectroScope, a web-based system which lets users query a discussion-worthy natural language claim, and extract and visualize various perspectives in support or against theExpand