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dc.contributor.authorManurung, Hisaren
dc.contributor.authorRitchie, Graemeen
dc.contributor.authorThompson, Henryen
dc.date.accessioned2010-06-23T14:31:22Z
dc.date.available2010-06-23T14:31:22Z
dc.date.issued2000
dc.identifier.urihttp://hdl.handle.net/1842/3460
dc.descriptionProceedings of the AISB'00 Symposium on Creative; Cultural Aspects and Applications of AI; Cognitive Scienceen
dc.description.abstractIn this paper we describe the difficulties of poetry generation, particularly in contrast to traditional informative natural language generation. We then point out deficiencies of previous attempts at poetry generation, and propose a stochastic hillclimbing search model which addresses these deficiencies. We present both conceptual and implemented details of the most important aspects of such a model, the evaluation and evolution functions. Finally, we report and discuss results of our preliminary implementation work.en
dc.language.isoen
dc.publisherThe University of Edinburghen
dc.relation.ispartofseriesInformatics Report Seriesen
dc.relation.ispartofseriesEDI-INF-RR-0015en
dc.subjectInformaticsen
dc.titleTowards A Computational Model Of Poetry Generationen
dc.typeTechnical Reporten


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