Churnalist: Fictional Headline Generation for Context-appropriate Flavor Text

Judith van Stegeren, Mariet Theune

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

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Abstract

We present Churnalist, a headline generator for creating contextually-appropriate fictional headlines that can be used as ‘flavor text’ in games. Churnalist creates new headlines from existing headlines with text modification. It extracts seed words from free text input, queries a knowledge base for related words and uses these words in the new headlines. Churnalist’s knowledge base consists of a dataset of pre-trained word embeddings, thus requiring no linguistic expertise or hand-coded models from the user.
Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Computational Creativity
EditorsKazjon Grace, Michael Cook, Dan Ventura, Mary Lou Maher
PublisherAssociation for Computational Creativity
Pages65-72
Number of pages8
ISBN (Electronic)978-989-54160-1-1
Publication statusPublished - Jun 2019
Event10th International Conference on Computational Creativity - UNC Charlotte, Charlotte, United States
Duration: 17 Jun 201921 Jun 2019
http://computationalcreativity.net/iccc2019/

Conference

Conference10th International Conference on Computational Creativity
Abbreviated titleICCC 2019
CountryUnited States
CityCharlotte
Period17/06/1921/06/19
Internet address

Fingerprint

Flavors
Linguistics
Seed

Keywords

  • natural language generation
  • text modification
  • headline generation
  • procedural content generation
  • text generation
  • video games
  • flavor text
  • computational creativity

Cite this

van Stegeren, J., & Theune, M. (2019). Churnalist: Fictional Headline Generation for Context-appropriate Flavor Text. In K. Grace, M. Cook, D. Ventura, & M. L. Maher (Eds.), Proceedings of the 10th International Conference on Computational Creativity (pp. 65-72). Association for Computational Creativity.
van Stegeren, Judith ; Theune, Mariet . / Churnalist : Fictional Headline Generation for Context-appropriate Flavor Text. Proceedings of the 10th International Conference on Computational Creativity. editor / Kazjon Grace ; Michael Cook ; Dan Ventura ; Mary Lou Maher. Association for Computational Creativity, 2019. pp. 65-72
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abstract = "We present Churnalist, a headline generator for creating contextually-appropriate fictional headlines that can be used as ‘flavor text’ in games. Churnalist creates new headlines from existing headlines with text modification. It extracts seed words from free text input, queries a knowledge base for related words and uses these words in the new headlines. Churnalist’s knowledge base consists of a dataset of pre-trained word embeddings, thus requiring no linguistic expertise or hand-coded models from the user.",
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van Stegeren, J & Theune, M 2019, Churnalist: Fictional Headline Generation for Context-appropriate Flavor Text. in K Grace, M Cook, D Ventura & ML Maher (eds), Proceedings of the 10th International Conference on Computational Creativity. Association for Computational Creativity, pp. 65-72, 10th International Conference on Computational Creativity, Charlotte, United States, 17/06/19.

Churnalist : Fictional Headline Generation for Context-appropriate Flavor Text. / van Stegeren, Judith; Theune, Mariet .

Proceedings of the 10th International Conference on Computational Creativity. ed. / Kazjon Grace; Michael Cook; Dan Ventura; Mary Lou Maher. Association for Computational Creativity, 2019. p. 65-72.

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

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KW - procedural content generation

KW - text generation

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van Stegeren J, Theune M. Churnalist: Fictional Headline Generation for Context-appropriate Flavor Text. In Grace K, Cook M, Ventura D, Maher ML, editors, Proceedings of the 10th International Conference on Computational Creativity. Association for Computational Creativity. 2019. p. 65-72