After the model training, the generator G learns the mapping function between the document-event distribution and the document-level event-related word distributions (entity, location, keyword and date).
with an event distribution Algorithm 1 Training procedure for AEM  10: 11: 12: end for 14: 15: end for Sample m noise end while ⃗ θ ′ as input, G could generate the corresponding entity distribution, location distribution, keyword distribution and date distribution.