Multiobjective Optimization for Meaningful Metrical Poetry

  title={Multiobjective Optimization for Meaningful Metrical Poetry},
  author={Fahrurrozi Rahman and Ruli Manurung},
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… CONTINUE READING


Publications citing this paper.


Publications referenced by this paper.

Similar Papers

Loading similar papers…