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    <titleInfo>
        <title>Let’s FACE it. Finnish Poetry Generation with Aesthetics and Framing</title>
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    <name type="personal">
        <namePart type="given">Mika</namePart>
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            <title>Proceedings of the 12th International Conference on Natural Language Generation</title>
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            <namePart type="given">Kees</namePart>
            <namePart type="family">van Deemter</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Chenghua</namePart>
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    <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.</abstract>
    <identifier type="citekey">hamalainen-alnajjar-2019-lets</identifier>
    <identifier type="doi">10.18653/v1/W19-8637</identifier>
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%0 Conference Proceedings
%T Let’s FACE it. Finnish Poetry Generation with Aesthetics and Framing
%A Hämäläinen, Mika
%A Alnajjar, Khalid
%Y van Deemter, Kees
%Y Lin, Chenghua
%Y Takamura, Hiroya
%S Proceedings of the 12th International Conference on Natural Language Generation
%D 2019
%8 oct–nov
%I Association for Computational Linguistics
%C Tokyo, Japan
%F hamalainen-alnajjar-2019-lets
%X 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.
%R 10.18653/v1/W19-8637
%U https://aclanthology.org/W19-8637
%U https://doi.org/10.18653/v1/W19-8637
%P 290-300

Markdown (Informal)

[Let’s FACE it. Finnish Poetry Generation with Aesthetics and Framing](https://aclanthology.org/W19-8637) (Hämäläinen & Alnajjar, INLG 2019)

• Let’s FACE it. Finnish Poetry Generation with Aesthetics and Framing (Hämäläinen & Alnajjar, INLG 2019)

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.