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        <title>A Master-Apprentice Approach to Automatic Creation of Culturally Satirical Movie Titles</title>
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    <name type="personal">
        <namePart type="given">Khalid</namePart>
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    <name type="personal">
        <namePart type="given">Mika</namePart>
        <namePart type="family">Hämäläinen</namePart>
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            <title>Proceedings of the 11th International Conference on Natural Language Generation</title>
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        <name type="personal">
            <namePart type="given">Emiel</namePart>
            <namePart type="family">Krahmer</namePart>
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        <name type="personal">
            <namePart type="given">Albert</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Martijn</namePart>
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    <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.</abstract>
    <identifier type="citekey">alnajjar-hamalainen-2018-master</identifier>
    <identifier type="doi">10.18653/v1/W18-6534</identifier>
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        <date>2018-11</date>
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%0 Conference Proceedings
%T A Master-Apprentice Approach to Automatic Creation of Culturally Satirical Movie Titles
%A Alnajjar, Khalid
%A Hämäläinen, Mika
%Y Krahmer, Emiel
%Y Gatt, Albert
%Y Goudbeek, Martijn
%S Proceedings of the 11th International Conference on Natural Language Generation
%D 2018
%8 November
%I Association for Computational Linguistics
%C Tilburg University, The Netherlands
%F alnajjar-hamalainen-2018-master
%X 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.
%R 10.18653/v1/W18-6534
%U https://aclanthology.org/W18-6534
%U https://doi.org/10.18653/v1/W18-6534
%P 274-283

Markdown (Informal)

[A Master-Apprentice Approach to Automatic Creation of Culturally Satirical Movie Titles](https://aclanthology.org/W18-6534) (Alnajjar & Hämäläinen, INLG 2018)

• A Master-Apprentice Approach to Automatic Creation of Culturally Satirical Movie Titles (Alnajjar & Hämäläinen, INLG 2018)

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.