X575: writing rengas with web services
Daniel Winterstein, Joseph Corneli

TL;DR
This paper presents a software system that uses NLP web services to simulate the Japanese poetry form renga, highlighting partial success and exploring related research for future improvements.
Contribution
It introduces a novel system integrating NLP web services to generate renga, a traditional Japanese poetic form, and discusses challenges and future directions.
Findings
Partial success in satisfying classical constraints
Web services enable flexible NLP integration
Insights from related research inform future work
Abstract
Our software system simulates the classical collaborative Japanese poetry form, renga, made of linked haikus. We used NLP methods wrapped up as web services. Our experiments were only a partial success, since results fail to satisfy classical constraints. To gather ideas for future work, we examine related research in semiotics, linguistics, and computing.
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Taxonomy
TopicsNatural Language Processing Techniques · Artificial Intelligence in Games · Topic Modeling
