AutoEQA: Auto-Encoding Questions for Extractive Question Answering
Stalin Varanasi, Saadullah Amin, Guenter Neumann · 2021
There has been a significant progress in the field of extractive question answering (EQA) in the recent years.However, most of them rely on annotations of answer-spans in the corresponding passages.In this work, we address the problem of EQA when no annotations are present for the answer span, i.e., when the dataset contains only questions and corresponding passages.Our method is based on auto-encoding of the question that performs a question answering (QA) task during encoding and a question generation (QG) task during decoding.Our method performs well in a zeroshot setting and can provide an additional loss to boost performance for EQA.