Question: How does this model overcome the assumption that all words in a document are generated from a single event?
Answer: flexibility of neural networks, the generator is capable of learning complicated nonlinear distributions, supervision signal provided by the discriminator will help generator to capture the event-related patterns
Alternative answer: by learning a projection function between the document-event distribution and four event related word distributions