A Master-Apprentice Approach to Automatic Creation of Culturally Satirical Movie Titles

Khalid Alnajjar, Mika Hämäläinen


Abstract
Satire has played a role in indirectly expressing critique towards an authority or a person from time immemorial. We present an autonomously creative master-apprentice approach consisting of a genetic algorithm and an NMT model to produce humorous and culturally apt satire out of movie titles automatically. Furthermore, we evaluate the approach in terms of its creativity and its output. We provide a solid definition for creativity to maximize the objectiveness of the evaluation.
Anthology ID:
W18-6534
Volume:
Proceedings of the 11th International Conference on Natural Language Generation
Month:
November
Year:
2018
Address:
Tilburg University, The Netherlands
Editors:
Emiel Krahmer, Albert Gatt, Martijn Goudbeek
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
274–283
Language:
URL:
https://aclanthology.org/W18-6534
DOI:
10.18653/v1/W18-6534
Bibkey:
Cite (ACL):
Khalid Alnajjar and Mika Hämäläinen. 2018. A Master-Apprentice Approach to Automatic Creation of Culturally Satirical Movie Titles. In Proceedings of the 11th International Conference on Natural Language Generation, pages 274–283, Tilburg University, The Netherlands. Association for Computational Linguistics.
Cite (Informal):
A Master-Apprentice Approach to Automatic Creation of Culturally Satirical Movie Titles (Alnajjar & Hämäläinen, INLG 2018)
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PDF:
https://aclanthology.org/W18-6534.pdf