To provide a method of generating text having related purposes by using a generative adversarial network (GAN).SOLUTION: This method comprises the steps of: receiving a limited dataset including real data with related cognitive value types (types); and applying loss functions to portions of the real data. The portions of the real data are each identified as having one of the types. The loss functions ensure alignment of the portions with corresponding types. The method comprises the steps of: embedding the real data into an encoder output that includes an embedded vector for the cognitive value types; generating an additional parameter set that is supplementary to the real data and is configured to enhance expressiveness of a model; generating statements on the basis of the additional parameter set and the encoder output. The statements include a style of one of the cognitive value types and are related to a common issue solved by the GAN.SELECTED DRAWING: Figure 3
EXPLANATION GENERATION WITH DIFFERENT COGNITIVE VALUES USING GENERATIVE ADVERSARIAL NETWORKS