RankQA: Neural Question Answering with Answer Re-Ranking

1 code implementation • ACL 2019 • Bernhard Kratzwald, Anna Eigenmann, Stefan Feuerriegel

The conventional paradigm in neural question answering (QA) for narrative content is limited to a two-stage process: first, relevant text passages are retrieved and, subsequently, a neural network for machine comprehension extracts the likeliest answer.

Question Answering Reading Comprehension +2