ML Anthology

BiPOCL: A Discourse-Driven Story Planner for Procedural Narrative Generation (Extended Abstract)

David R. Winer
IJCAI 2016 pp. 4042-4043
/ijcai/2016/winer2016ijcai-bipocl/

Abstract

Typical narrative generation systems adopt a story-then-discourse pipeline approach in which fabula (i.e. story) is procedurally generated and provided as input for generating discourse and narration (e.g. text or animation). However, stories produced independently from a communicative plan are not guaranteed to have properties which are readily tellable or worth telling. This extended abstract describes an approach to narrative planning in which constraints for a story are discovered as part of the search for compatible story and discourse solutions. PDF

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Cite

Text

Winer. "BiPOCL: A Discourse-Driven Story Planner for Procedural Narrative Generation (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2016.

Markdown

[Winer. "BiPOCL: A Discourse-Driven Story Planner for Procedural Narrative Generation (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2016.](https://mlanthology.org/ijcai/2016/winer2016ijcai-bipocl/)

BibTeX

@inproceedings{winer2016ijcai-bipocl,
  title     = {{BiPOCL: A Discourse-Driven Story Planner for Procedural Narrative Generation (Extended Abstract)}},
  author    = {Winer, David R.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {4042-4043},
  url       = {https://mlanthology.org/ijcai/2016/winer2016ijcai-bipocl/}
}