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Constrained creation of poetic forms during theme-driven exploration of a domain defined by an N-gram model.
- Source :
- Connection Science; Jun2016, Vol. 28 Issue 2, p111-130, 20p
- Publication Year :
- 2016
-
Abstract
- Most poetry-generation systems apply opportunistic approaches where algorithmic procedures are applied to explore the conceptual space defined by a given knowledge resource in search of solutions that might be aesthetically valuable. Aesthetical value is assumed to arise from compliance to a given poetic form – such as rhyme or metrical regularity – or from evidence of semantic relations between the words in the resulting poems that can be interpreted as rhetorical tropes – such as similes, analogies, or metaphors. This approach tends to fix a priori the aesthetic parameters of the results, and imposes no constraints on the message to be conveyed. The present paper describes an attempt to initiate a shift in this balance, introducing means for constraining the output to certain topics and allowing a looser mechanism for constraining form. This goal arose as a result of the need to produce poems for a themed collection commissioned to be included in a book. The solution adopted explores an approach to creativity where the goals are not solely aesthetic and where the results may be surprising in their poetic form. An existing computer poet, originally developed to produce poems in a given form but with no specific constraints on their content, is put to the task of producing a set of poems with explicit restrictions on content, and allowing for an exploration of poetic form. Alternative generation methods are devised to overcome the difficulties, and the various insights arising from these new methods and the impact they have on the set of resulting poems are discussed in terms of their potential contribution to better poetry-generation systems. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 09540091
- Volume :
- 28
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Connection Science
- Publication Type :
- Academic Journal
- Accession number :
- 114015673
- Full Text :
- https://doi.org/10.1080/09540091.2015.1130024