Journal article
Evaluating Analogy-Based Story Generation: An Empirical Study
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, v 9(1), pp 198-204
30 Jun 2021
Abstract
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.
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Details
- Title
- Evaluating Analogy-Based Story Generation: An Empirical Study
- Creators
- Jichen Zhu - Drexel UniversitySantiago Ontanon - Drexel University
- Publication Details
- Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, v 9(1), pp 198-204
- Number of pages
- 7
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Other Identifier
- 991021859329104721