A chart generation system for topical metrical poetry

Berty Chrismartin Lumban Tobing, Ruli Manurung

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

8 Citations (Scopus)

Abstract

Several poetry generation systems that are in some way inspired or motivated by existing articles such as newspaper stories have recently appeared. However, most if not all of them employ template-based generation, which limits both the expressiveness of the system and the ability to faithfully convey the message of the source article. In this paper we present our work on a poetry generation system that uses a dependency parser to extract the predicate argument structure of the input article, and tries to maintain this structure through deep syntactic text generation whilst complying with a given target form. The combinatorial nature of this task presents huge challenges, and we describe several improvements that have been applied in an attempt to produce poetry in a tractable fashion.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Computational Creativity, ICCC 2015
EditorsHannu Toivonen, Simon Colton, Michael Cook, Dan Ventura
PublisherBrigham Young University
Pages308-314
Number of pages7
ISBN (Electronic)9780842529709
Publication statusPublished - 2015
Event6th International Conference on Computational Creativity, ICCC 2015 - Park City, United States
Duration: 29 Jun 20152 Jul 2015

Publication series

NameProceedings of the 6th International Conference on Computational Creativity, ICCC 2015

Conference

Conference6th International Conference on Computational Creativity, ICCC 2015
Country/TerritoryUnited States
CityPark City
Period29/06/152/07/15

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