A method, apparatus and device for generating a reading comprehension question, and a storage medium. The method comprises: first, obtaining a reading comprehension source text to be processed (S10), and performing word segmentation on said reading comprehension source text according to the phrase type, so that said reading comprehension source text has characteristic phrases of multiple different phrase types (S20); determining a target phrase type from the phrase type, and obtaining a preset target answer vector corresponding to the target phrase type from a preset storage area (S30); selecting a target characteristic phrase corresponding to the target phrase type from the characteristic phrases, and generating a target word vector corresponding to the target characteristic phrase (S40); obtaining position information of the target characteristic phrase in said reading comprehension source text, and generating a position vector corresponding to the position information (S50); and sending the target word vector corresponding to the target phrase type, the position vector, the preset target answer vector into a preset sequence-to-sequence model, and finally, automatically generating a question text that more fits the original meaning of said reading comprehension text (S60).
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