Abstract
The authors discuss how to control outputs from deep learning models of text corpora so as to create contemporary poetic works. They assess whether these controls are successful in the immediate sense of creating stylometric distinctiveness. The specific context is the authors’ piece The Character Thinks Ahead (2016–2017); the potential applications are broad.
Original language | English |
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Pages (from-to) | 503-504 |
Number of pages | 2 |
Journal | Leonardo |
Volume | 51 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2018 |
Keywords
- creative writing
- machine learning