Let’s FACE it. Finnish Poetry Generation with Aesthetics and Framing

Mika Hämäläinen, Khalid Alnajjar


Abstract
We present a creative poem generator for the morphologically rich Finnish language. Our method falls into the master-apprentice paradigm, where a computationally creative genetic algorithm teaches a BRNN model to generate poetry. We model several parts of poetic aesthetics in the fitness function of the genetic algorithm, such as sonic features, semantic coherence, imagery and metaphor. Furthermore, we justify the creativity of our method based on the FACE theory on computational creativity and take additional care in evaluating our system by automatic metrics for concepts together with human evaluation for aesthetics, framing and expressions.
Anthology ID:
W19-8637
Volume:
Proceedings of the 12th International Conference on Natural Language Generation
Month:
October–November
Year:
2019
Address:
Tokyo, Japan
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
290–300
Language:
URL:
https://aclanthology.org/W19-8637
DOI:
10.18653/v1/W19-8637
Bibkey:
Cite (ACL):
Mika Hämäläinen and Khalid Alnajjar. 2019. Let’s FACE it. Finnish Poetry Generation with Aesthetics and Framing. In Proceedings of the 12th International Conference on Natural Language Generation, pages 290–300, Tokyo, Japan. Association for Computational Linguistics.
Cite (Informal):
Let’s FACE it. Finnish Poetry Generation with Aesthetics and Framing (Hämäläinen & Alnajjar, INLG 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-8637.pdf
Code
 mikahama/finmeter