Dual Ask-Answer Network for Machine Reading Comprehension

Understand

There are three modalities in the reading comprehension setting: question, answer and context.

• The task of question answering or question generation aims to infer an answer or a question when given the counterpart based on context.
• We present a novel two-way neural sequence transduction model that connects three modalities, allowing it to learn two tasks simultaneously and mutually benefit one another.
• During training, the model receives question-context-answer triplets as input and captures the cross-modal interaction via a hierarchical attention process.