Multiobjective optimization for meaningful metrical poetry

Fahrurrozi Rahman, Ruli Manurung

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

7 Citations (Scopus)

Abstract

This paper reports our experiments to properly handle the multiobjective optimization nature of poetry generation - as defined in Manurung (2003) - as a stochastic search that seeks to produce a text that simultaneously satisfies the properties of grammaticality, meaningfulness, and poeticness. In particular, we employ the SPEA2 Algorithm (Zitzler, Laumanns, and Thiele 2001). Various results show that it consistently outperforms our previous system in its ability to generate a meaningful metrical text according to given semantic and metre specifications, and in some cases is able to generate the intended text, whereas our previous system fails to do so. However, it is still unable to reach the goal of generating an entire poem. We conclude with suggestions for further work to address this shortcoming.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Computational Creativity, ICCC 2011
Pages4-9
Number of pages6
Publication statusPublished - 1 Dec 2011
Event2nd International Conference on Computational Creativity, ICCC 2011 - Mexico City, Mexico
Duration: 27 Apr 201129 Apr 2011

Publication series

NameProceedings of the 2nd International Conference on Computational Creativity, ICCC 2011

Conference

Conference2nd International Conference on Computational Creativity, ICCC 2011
CountryMexico
CityMexico City
Period27/04/1129/04/11

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