@inproceedings{alnajjar-hamalainen-2018-master,
    title = "A Master-Apprentice Approach to Automatic Creation of Culturally Satirical Movie Titles",
    author = {Alnajjar, Khalid  and
      H{\"a}m{\"a}l{\"a}inen, Mika},
    editor = "Krahmer, Emiel  and
      Gatt, Albert  and
      Goudbeek, Martijn",
    booktitle = "Proceedings of the 11th International Conference on Natural Language Generation",
    month = nov,
    year = "2018",
    address = "Tilburg University, The Netherlands",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W18-6534/",
    doi = "10.18653/v1/W18-6534",
    pages = "274--283",
    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."
}