Remixing Headlines for Context-Appropriate Flavor Text

Judith van Stegeren, Mariët Theune

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    Abstract

    We describe a prototype of Churnalist, a headline generator for creating contextually-appropriate fictional headlines that can be used as flavor text in games. Churnalist creates new headlines by remixing existing headlines. It extracts seed words from free text input, searches for related words in a dataset of word embeddings and uses these words in the new headlines. The system requires no linguistic expertise or handcoded language models from the user.
    Original languageEnglish
    Title of host publicationProceedings of the IEEE Conference On Games (COG) 2019
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Number of pages2
    ISBN (Print)978-1-7281-1884-0
    Publication statusPublished - 20 Aug 2019
    EventIEEE Conference On Games 2019 - Queen Mary University of London, London, United Kingdom
    Duration: 20 Aug 201923 Aug 2019
    http://ieee-cog.org/

    Conference

    ConferenceIEEE Conference On Games 2019
    Abbreviated titleIEEE COG 2019
    CountryUnited Kingdom
    CityLondon
    Period20/08/1923/08/19
    Internet address

    Fingerprint

    Flavors
    Linguistics
    Seed

    Keywords

    • Flavor text
    • Headline generation
    • Context
    • Text generation
    • Remixing
    • Games

    Cite this

    van Stegeren, J., & Theune, M. (2019). Remixing Headlines for Context-Appropriate Flavor Text. In Proceedings of the IEEE Conference On Games (COG) 2019 [156] Piscataway, NJ: IEEE.
    van Stegeren, Judith ; Theune, Mariët. / Remixing Headlines for Context-Appropriate Flavor Text. Proceedings of the IEEE Conference On Games (COG) 2019. Piscataway, NJ : IEEE, 2019.
    @inproceedings{bcf2838875da41e59f17c6fa85758aac,
    title = "Remixing Headlines for Context-Appropriate Flavor Text",
    abstract = "We describe a prototype of Churnalist, a headline generator for creating contextually-appropriate fictional headlines that can be used as flavor text in games. Churnalist creates new headlines by remixing existing headlines. It extracts seed words from free text input, searches for related words in a dataset of word embeddings and uses these words in the new headlines. The system requires no linguistic expertise or handcoded language models from the user.",
    keywords = "Flavor text, Headline generation, Context, Text generation, Remixing, Games",
    author = "{van Stegeren}, Judith and Mari{\"e}t Theune",
    year = "2019",
    month = "8",
    day = "20",
    language = "English",
    isbn = "978-1-7281-1884-0",
    booktitle = "Proceedings of the IEEE Conference On Games (COG) 2019",
    publisher = "IEEE",
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    }

    van Stegeren, J & Theune, M 2019, Remixing Headlines for Context-Appropriate Flavor Text. in Proceedings of the IEEE Conference On Games (COG) 2019., 156, IEEE, Piscataway, NJ, IEEE Conference On Games 2019, London, United Kingdom, 20/08/19.

    Remixing Headlines for Context-Appropriate Flavor Text. / van Stegeren, Judith; Theune, Mariët.

    Proceedings of the IEEE Conference On Games (COG) 2019. Piscataway, NJ : IEEE, 2019. 156.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    N2 - We describe a prototype of Churnalist, a headline generator for creating contextually-appropriate fictional headlines that can be used as flavor text in games. Churnalist creates new headlines by remixing existing headlines. It extracts seed words from free text input, searches for related words in a dataset of word embeddings and uses these words in the new headlines. The system requires no linguistic expertise or handcoded language models from the user.

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    KW - Text generation

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    van Stegeren J, Theune M. Remixing Headlines for Context-Appropriate Flavor Text. In Proceedings of the IEEE Conference On Games (COG) 2019. Piscataway, NJ: IEEE. 2019. 156