July 27, 2019
Unsupervised Question Answering by Cloze Translation
Association for Computational Linguistics (ACL)
Obtaining training data for Question Answering (QA) is time-consuming and resource-intensive, and existing QA datasets are only available for limited domains and languages. In this work, we explore to what extent high quality training data is actually required for Extractive QA, and investigate the possibility of unsupervised Extractive QA.
By: Patrick Lewis, Ludovic Denoyer, Sebastian Riedel
Facebook AI Research
Natural Language Processing & Speech