/WassersteinQA

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

Primary LanguageJupyter Notebook

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.