mfouda / WassersteinQA

Application of optimal transport techniques to evaluate similarities between complex nlp datasets

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WassersteinQA - An Exploration of Generalization using Wasserstein Distance

Method to compute the distance between Question Answering (QA) datasets based on the Wasserstein Optimal Transport metric.

A detailed description of the methodology and the results can be found here.

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Application of optimal transport techniques to evaluate similarities between complex nlp datasets


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