OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach

Understand

Large-scale question-answer (QA) pairs are critical for advancing research areas like machine reading comprehension and question answering.

• To construct QA pairs from documents requires determining how to ask a question and what is the corresponding answer.
• Existing methods for QA pair generation usually follow a pipeline approach.
• Namely, they first choose the most likely candidate answer span and then generate the answer-specific question.