Event Representations for Automated Story Generation with Deep Neural Nets

@article{Martin2018EventRF,
  title={Event Representations for Automated Story Generation with Deep Neural Nets},
  author={Lara J. Martin and Prithviraj Ammanabrolu and William Hancock and Shruti Singh and Brent Harrison and Mark O. Riedl},
  journal={CoRR},
  year={2018},
  volume={abs/1706.01331}
}
Automated story generation is the problem of automatically selecting a sequence of events, actions, or words that can be told as a story. We seek to develop a system that can generate stories by learning everything it needs to know from textual story corpora. To date, recurrent neural networks that learn language models at character, word, or sentence levels have had little success generating coherent stories. We explore the question of event representations that provide a midlevel of… CONTINUE READING

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