Event scenarios are often complex and involve multiple event sequences
connected through different entity participants. Exploring such complex
scenarios requires an ability to branch through different sequences, something
that is difficult to achieve with standard event language modeling. To address
this, we propose a question-guided generation framework that models events in
complex scenarios as answers to questions about participants. At any step in
the generation process, the framework uses the previously generated events as
context, but generates the next event as an answer to one of three questions:
what else a participant did, what else happened to a participant, or what else
happened. The participants and the questions themselves can be sampled or be
provided as input from a user, allowing for controllable exploration. Our
empirical evaluation shows that this question-guided generation provides better
coverage of participants, diverse events within a domain, comparable
perplexities for modeling event sequences, and more effective control for
interactive schema generation.

本文提出了一种基于问题引导的生成框架，用于模拟在复杂场景下的事件序列。此框架包含三个问题：参与者做了什么、对参与者发生了什么、以及其他事件。通过先前生成的事件作为上下文信息，将下一个事件作为以上三个问题的答案之一生成，从而探索复杂场景中的事件序列。该框架可以由用户输入参与者和问题，从而实现可控探索。实验结果表明，与标准事件语言模型相比，这种基于问题引导的模型能够更好地涵盖参与者、在领域内产生多样性事件、具有可比的建模事件序列的困惑度，以及更有效地控制交互式模式生成。