Evaluating Analogy-Based Story Generation: An Empirical Study
Keywords:Story Generation, Computational Analogy, Evaluation
Evaluation is one of the major open problems in computational narrative. In this paper, we present an empirical study of SAM, an analogy-based story generation (ASG) algorithm, that was created as part of our Riu interactive narrative system. Specifically, our study focuses on SAM's capability to retrieve and generate short non-interactive stories. Combining qualitative and quantitative methods from different disciplines, the methodology in this study can be extended to evaluating other computational narrative systems.
How to Cite
Zhu, J., & Ontanon, S. (2021). Evaluating Analogy-Based Story Generation: An Empirical Study. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 9(1), 198-204. https://doi.org/10.1609/aiide.v9i1.12674