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Articles

A taxonomy of generative poetry techniques

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Pages 159-179 | Received 05 Jan 2017, Accepted 28 Aug 2017, Published online: 11 Sep 2017

References

  • M. Abrams, Theories of Poetry, in The Princeton Encyclopedia of Poetry and Poetics, R. Greene, S. Cushman, C. Cavanagh, J. Ramazani, and P. Rouzer, eds., Princeton University Press, Princeton, 1974, pp. 639–649.
  • M. Agirrezabal, B. Arrieta, A. Astigarraga, and M. Hulden, POS-tag based poetry generation with WordNet, in Proceedings of the 14th European Workshop on Natural Language Generation, Association for Computational Linguistics, Sofia, Bulgaria, 2013, pp. 162–166.
  • A.E. Balakian, Dadaism, in The Princeton Encyclopedia of Poetry and Poetics, R. Greene, S. Cushman, C. Cavanagh, J. Ramazani, and P. Rouzer, eds., Princeton University Press, Princeton, 1974, p. 180.
  • G. Barbieri, F. Pachet, P. Roy, and M.D. Esposti, Markov constraints for generating lyrics with style, in Proceedings of the 20th European Conference on Artificial Intelligence, L. De Raedt, C. Bessiere, D. Dubois, P. Doherty, and P. Frasconi, eds., IOS Press, Montpelier, France, 2012, pp. 115–120.
  • M.C. Beardsley, On the creation of art, J. Aesthetics Art Criticism 23 (1965), pp. 291–304.
  • R. Bhatnagar, Pentametron, 2012. Available at http://pentametron.com, accessed 9 December 2015.
  • O. Bown, Player responses to a live algorithm: Conceptualising computational creativity without recourse to human comparisons? in Proceedings of the Sixth International Conference on Computational Creativity, H. Toivonen, ed., Brigham Young University, Park City, Utah, 2015, pp. 126–133.
  • J. Carpenter, Public override void, 2004. Available at https://slought.org/resources/public_override_void, accessed 9 December 2015.
  • J. Carpenter, etc4, 2007, blog post. Available at http://theprostheticimagination.blogspot.ca/2007/07/etc4.html.
  • S. Colton, J. Goodwin, and T. Veale, Full face poetry generation, in Proceedings of the Third International Conference on Computational Creativity, M.L. Maher, ed., computationalcreativity.net, Dublin, Ireland, 2012, pp. 95–102.
  • P. Dahlstedt, Between material and ideas: A process-based spatial model of artistic creativity, in Computers and Creativity, J. McCormack and M. d'Inverno, eds., Springer, Berlin, 2012, pp. 205–233.
  • J. Douglass, Numeracy and electronic poetry, J. Math. Arts 8 (2014), pp. 13–23.
  • A. Eigenfeldt, Generative music for live musicians: An unnatural selection, in Proceedings of the Sixth International Conference on Computational Creativity, H. Toivonen, ed., Brigham Young University, Park City, Utah, 2015, pp. 142–149.
  • E. Addad, A.T. Donovan, E. Elshtain, eRoGK7, C. Hardy, illiterate1, JYNX, Nossidge, N.K. Smith, J. Wilberg, Gnoetry daily. Available at https://gnoetrydaily.wordpress.com, accessed 9 December 2015.
  • C.T. Funkhouser, Prehistoric digital poetry: An archaeology of forms, 1959-1995, University Alabama Press, Tuscaloosa, Alabama, 2007.
  • C.T. Funkhouser, New directions in digital poetry, A&C Black, London, UK, 2012.
  • P. Gervás, An expert system for the composition of formal Spanish poetry, Knowl.-Based Syst. 14 (2001), pp. 181–188.
  • P. Gervás, Exploring quantitative evaluations of the creativity of automatic poets, in Workshop on Creative Systems, Approaches to Creativity in Artificial Intelligence and Cognitive Science, 15th European Conference on Artificial Intelligence, F. van Harmelen, ed., IOS Press, Lyon, France, 2002.
  • P. Gervás, Evolutionary elaboration of daily news as a poetic stanza, in Proceedings of the IX Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados-MAEB, F. Herrera and J.A. Gámez, eds., 2013, Salamanca, Spain, pp. 229–238.
  • P. Gervás, Constrained creation of poetic forms during theme-driven exploration of a domain defined by an n-gram model, Connection Sci. 28 (2016), pp. 111–130.
  • M. Ghazvininejad, X. Shi, Y. Choi, and K. Knight, Generating topical poetry, in Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, K. Duh and X. Carreras, eds., Association for Computational Linguistics, Austin, Texas, 2016, pp. 1183–1191.
  • V.P. Glăveanu, Creativity as a sociocultural act, J. Creative Behav. 49 (2015), pp. 165–180.
  • K. Goldsmith, Flarf is Dionysus. Conceptual Writing is Apollo, Poetry Foundation, Chicago, 2009.
  • H. Gonçalo Oliveira, Tra-la-lyrics 2.0: Automatic generation of song lyrics on a semantic domain, J. Artif. Gen. Intell. 6 (2015), pp. 87–110.
  • R. Goodwin, Adventures in narrated reality, 2016. Available at https://medium.com/artists-and-machine-intelligence/adventures-in-narrated-reality-6516ff395ba3, retrieved 29 November 2016.
  • N. Gordon, Unicorn believers don’t declare fatwas, Poetry Foundation, Chicago, 2009.
  • J. Harris, Times haiku: Serendipitous poetry from the New York Times, 2013-present. Available at http://haiku.nytimes.com/, accessed 9 December 2015.
  • J. He, M. Zhou, and L. Jiang, Generating Chinese classical poems with statistical machine translation models, in Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, J. Hoffmann and B. Selman, eds., AAAI Publications, 2012.
  • E. Heep and A. Kapur, Extracting visual information to generate sonic art installation and performance, in Proceedings of the 21st International Symposium on Electronic Art, P. Pasquier and T. Schiphorst, eds., Vancouver, Canada, 2015.
  • A. Jordanous, Four PPPPerspectives on computational creativity, in The AISB15's 2nd International Symposium on Computational Creativity (CC2015), M.M. al-Rifaie and J. Gow, eds., Society for the Study for Artificial Inteligence, Bath, UK, 2015, p. 16.
  • A. Kantosalo, J.M. Toivanen, P. Xiao, and H. Toivonen, From isolation to involvement: Adapting machine creativity software to support human-computer co-creation, in Proceedings of the Fifth International Conference on Computational Creativity, S. Colton, D. Ventura, N. Lavrac, and M. Cook, eds., Association for the Advancement of Artificial Intelligence, Toronto, Canada, computationalcreativity.net, Ljubljana, Slovenia, 2014, pp. 1–7.
  • A. Karpathy, The unreasonable effectiveness of recurrent neural networks (2015), qtd. in (Goodwin, 2016).
  • J.C. Kaufman and J. Baer, Beyond new and appropriate: Who decides what is creative? Creativity Res. J. 24 (2012), pp. 83–91.
  • A. Knowles and J. Tenney, A sheet from ‘The House’, a computer poem (1968), qtd. in (Funkhouser, 2007).
  • C.E. Lamb, D.G. Brown, and C.L. Clarke, Can human assistance improve a computational poet? in Proceedings of BRIDGES, K. Delp, ed., The Bridges Organization, Baltimore, Maryland, 2015, pp. 37–44.
  • A. Lingentfelter, Personal communication, 2017.
  • T. Lutz, Stochastiche texte, Augenblick 4 (1959), pp. 3–9, qtd. in (Roque, 2011); translated to English by Helen MacCormack, 2005.
  • E. Malmi, P. Takala, H. Toivonen, T. Raiko, and A. Gionis, DopeLearning: a computational approach to rap lyrics generation, preprint (2015). Available at arXiv:1505.04771.
  • H. Manurung, G. Ritchie, and H. Thompson, Towards a computational model of poetry generation, Tech. Rep., The University of Edinburgh, Edinburgh, UK, 2000.
  • H.M. Manurung, Chart generation of rhythm-patterned text, in Proceedings of the First International Workshop on Literature in Cognition and Computers, 1999, pp. 15–19.
  • R. Manurung, G. Ritchie, and H. Thompson, Using genetic algorithms to create meaningful poetic text, J. Exp. Theor. Artif. Intell. 24 (2012), pp. 43–64.
  • K. McDowell, Music, art & machine intelligence 2016 conference proceedings, 2016. Available at https://medium.com/artists-and-machine-intelligence/music-art-machine-intelligence-2016-conference-proceedings-ea376a4e2576, retrieved 2 December 2016.
  • N. Montfort and S. Strickland, Sea and spar between, Dear Navigator 2, 2010.
  • A. Mordvintsev, C. Olah, and M. Tyka, Inceptionism: going deeper into neural networks, Google Res. Blog 20 (2015).
  • J. Morris, Haiku—at random (1973), qtd. in (Funkhouser, 2007).
  • Y. Netzer, D. Gabay, Y. Goldberg, and M. Elhadad, Gaiku: generating haiku with word associations norms, in Proceedings of the Workshop on Computational Approaches to Linguistic Creativity, Association for Computational Linguistics, 2009, pp. 32–39.
  • S. Opolka, P. Obermeier, and T. Schaub, Automatic genre-dependent composition using answer set programming, in Proceedings of the 21st International Symposium on Electronic Art, P. Pasquier and T. Schiphorst, eds., Vancouver, Canada, 2015.
  • F. Pachet and P. Roy, Markov constraints: Steerable generation of Markov sequences, Constraints 16 (2011), pp. 148–172.
  • F. Pachet, P. Roy, J. Moreira, and M. d’Inverno, Reflexive loopers for solo musical improvisation, in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, P. Baudisch and M. Beaudouin-Lafon, eds., ACM, Paris, France, 2013, pp. 2205–2208.
  • A. Papadopoulos, P. Roy, and F. Pachet, Assisted lead sheet composition using flowcomposer, in Proceedings of the International Conference on Principles and Practice of Constraint Programming, Springer, 2016, pp. 769–785.
  • G. Percival, S. Fukayama, and M. Goto, Song2Quartet: A system for generating string quartet cover songs from polyphonic audio of popular music, in Proceedings of the 16th ISMIR Conference, The International Society of Music Information Retrieval, 2015, pp. 114–120.
  • A. Ramakrishnan and S.L. Devi, An alternate approach towards meaningful lyric generation in Tamil, in Proceedings of the NAACL HLT Second Workshop on Computational Approaches to Linguistic Creativity, J. Burnstein, M. Harper, and G. Penn, eds., Association for Computational Linguistics, Los Angeles, CA, 2010, pp. 31–39.
  • M. Rhodes, An analysis of creativity, Phi Delta Kappan 42 (1961), pp. 305–310.
  • A. Roque, Language technology enables a poetics of interactive generation, J. Electr. Publ. 14 (2011).
  • E. Sadler-Smith, Wallas’ four-stage model of the creative process: More than meets the eye? Creativity Res. J. 27 (2015), pp. 342–352.
  • M. Scirea, P. Eklund, and J. Togelius, Toward a context sensitive music generator for affective state expression, in Proceedings of the Sixth International Conference on Computational Creativity, H. Toivonen, ed., late-breaking abstract, Brigham Young University, Association for Computational Creativity, 2015.
  • V.W. Soo, T.Y. Lai, K.J. Wu, and Y.P. Hsu, Generate modern style Chinese poems based on common sense and evolutionary computation, in Proceedings of the Conference on Technologies and Applications of Artificial Intelligence (TAAI), C.K. Ting, S.J. Yen, Y.G. Wu, M.F. Horng, and C.L. Chen, eds., IEEE, Taiwan, ROC, 2015, pp. 315–322.
  • C. Stross, Lovecraft.pl (2013), blog post. Available at http://www.antipope.org/charlie/blog-static/2013/12/lovebiblepl.html, accessed 21 December 2016.
  • J. Toivanen, H. Toivonen, A. Valitutti, and O. Gross, Corpus-based generation of content and form in poetry, in Proceedings of the Third International Conference on Computational Creativity, M.L. Maher, ed., computationalcreativity.net, Dublin, Ireland, 2012, pp. 175–179.
  • J.M. Toivanen, O. Gross, and H. Toivonen, The officer is taller than you, who race yourself! Using document specific word associations in poetry generation, in Proceedings of the Fifth International Conference on Computational Creativity, computationalcreativity.net, 2014, pp. 355–359.
  • J.M. Toivanen, M. Järvisalo, and H. Toivonen, Harnessing constraint programming for poetry composition, in Proceedings of the Fourth International Conference on Computational Creativity, M.L. Maher, ed., computationalcreativity.net, Sydney, Australia, 2013, pp. 160–167.
  • University of Helsinki Computer Science Department, Works of artistic nature. Available at https://www.cs.helsinki.fi/discovery/works-artistic-nature, accessed 6 December 2016.
  • T. Veale and Y. Hao, Exploiting readymades in linguistic creativity: A system demonstration of the jigsaw bard, in Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations, D. Lin, ed., Association for Computational Linguistics, Portland, Oregon, 2011, pp. 14–19.
  • D. Ventura, Mere generation: Essential barometer or dated concept? in Proceedings of the Seventh International Conference on Computational Creativity, F. Pachet, A. Cardoso, V. Corruble, and F. Ghedini, eds., Sony CSL, Paris, 2016, pp. 17–24.
  • Q. Wang, T. Luo, D. Wang, and C. Xing, Chinese song iambics generation with neural attention-based model, preprint (2016). Available at arXiv:1604.06274.
  • Z. Wang, W. He, H. Wu, H. Wu, W. Li, H. Wang, and E. Chen, Chinese poetry generation with planning based neural network, preprint (2016). Available at arXiv:1610.09889.
  • T.B. Ward, S.M. Smith, and R.A. Finke, Creative cognition, in Handbook of Creativity, R.J. Sternberg, ed., Cambridge University Press, Cambridge, 1999, pp. 189–212.
  • R. Yan, i, Poet: Automatic poetry composition through recurrent neural networks with iterative polishing schema, in Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, S. Kambhampati, ed., AAAI Press, New York, 2016.
  • R. Yan, H. Jiang, M. Lapata, S.D. Lin, X. Lv, and X. Li, i, Poet: Aautomatic Chinese poetry composition through a generative summarization framework under constrained optimization, in Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, F. Rossi, ed., AAAI Press, Beijing, China, 2013, pp. 2197–2203.
  • V. Zappi and A. McPherson, The D-Box: How to rethink a digital musical instrument, in Proceedings of the 21st International Symposium on Electronic Art, P. Pasquier and T. Schiphorst, eds., Vancouver, Canada, 2015.
  • M.H. Zareei, D.A. Carnegie, and A. Kapur, Noise square: Physical sonification of cellular automata through mechatronic sound-sculpture, in Proceedings of the 21st International Symposium on Electronic Art, P. Pasquier and T. Schiphorst, eds., Vancouver, Canada, 2015.
  • X. Zhang and M. Lapata, Chinese poetry generation with recurrent neural networks, in Proceedings of the Conference on Empirical Methods in Natural Language Processing, A. Moschitti, B. Pang, and W. Daelemans, eds., Association for Computational Linguistics, Doha, Qatar, 2014, pp. 670–680.

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