2022

What Makes the Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generation

Lin, Li, Cao, Yixin, Huang, Lifu et al.

Understand

Prediction over event sequences is critical for many real-world applications in Information Retrieval and Natural Language Processing.

  • Future Event Generation (FEG) is a challenging task in event sequence prediction because it requires not only fluent text generation but also commonsense reasoning to maintain the logical coherence of the entire event story.
  • In this paper, we propose a novel explainable FEG framework, Coep.
  • It highlights and integrates two types of event knowledge, sequential knowledge of direct event-event relations and inferential knowledge that reflects the intermediate character psychology between events, such as intents, causes, reactions, which intrinsically pushes the story forward.

Reading the bibliography…