The Automatic Question Generation System for CET

In this paper, we apply the abstractive text summarization technology to automatic generation system of reading comprehension, which is part College English Test (CET) in China. At present, there a growing demand examination questions, yet manual question generating time-consuming and labor-intensive. To relieve pressure on task, put related into application, aims assist teachers generating, meanwhile, provide more CET exercises for students. We combine seq2seq model attention mechanism generate summarization. The abstract generated by method easy understand line with long experiment showed good results generating.