A Unified Query-based Generative Model for Question Generation and Question Answering

Understand

We propose a query-based generative model for solving both tasks of question generation (QG) and question an- swering (QA).

• The model follows the classic encoder- decoder framework.
• The encoder takes a passage and a query as input then performs query understanding by matching the query with the passage from multiple per- spectives.
• The decoder is an attention-based Long Short Term Memory (LSTM) model with copy and coverage mechanisms.