Neural language model-based approaches to automated story generation suffer from two important limitations. First, language model-based story generators generally do not work …
Neural language model-based approaches to automated story generation suffer from two important limitations. First, language model-based story generators generally do not work …
Narrative planning is the use of automated planning to construct, communicate, and understand stories, a form of information to which human cognition and enaction is pre …
This paper introduces the first computational model of a proposed set of cognitive structures and processes involved in interpreting visual narratives (specifically, comics). The study of …
The salience of a narrative event is defined as the ease with which an audience member can recall that past event. This paper describes a series of experiments investigating the use …
M Fisher, S Ware - Proceedings of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
Contemporary automated planning research emphasizes the use of domain knowledge abstractions like heuristics to improve search efficiency. Transformative automated …
In this paper, we propose the beginnings of a formal framework for modeling narrative\textit {qua} narrative. Our framework affords the ability to discuss key qualities of stories and their …
Storyetlling presents a compelling context for the development of intelligent systems. Increasingly, research on intelligent systems has targeted the development of computational …
D Winer, RM Young - Proceedings of the 9th International Natural …, 2016 - aclanthology.org
During content planning, a typical discourse generation system receives as input a library of facts and selects facts to include as the content for utterances. However, storytellers do not …