Abstract
In this article we describe a new system for the automatic creation of poetry in Basque that not only generates novel poems, but also creates them conveying a certain attitude or state of mind. A poem is a text structured according to predefined formal rules, whose parts are semantically related and with an intended message, aiming to elicit an emotional response. The proposed system receives as an input the topic of the poem and the affective state (positive, neutral or negative) and tries to give as output a novel poem that: (1) satisfies formal constraints of rhyme and metric, (2) shows coherent content related to the given topic, and (3) expresses them through the predetermined mood. Although the presented system creates poems in Basque, it is highly modular and easily extendable to new languages.
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References
Lord, A.B., Mitchell, S.A., Nagy, G.: The Singer of Tales. Harvard Studies in Comparative Literature, vol. 24. Harvard University Press (2000)
Pihel, E.: A furified freestyle: Homer and hip hop. Oral Tradition 11(2), 249–269 (1996)
Garzia Garmendia, J., Sarasua, J., Egaña, A.: The art of bertsolaritza: Improvised basque verse singing (2001)
Egaña, A.: Oral tradition 22 (2007)
Queneau, R.: 100.000.000.000.000 de poemes. Gallimard Series. Schoenhof’s Foreign Books (1961)
Oulipo, A.: Atlas de Litterature Potentielle. Collection Idees, Gallimard (1981)
Gervás, P.: Constrained creation of poetic forms during theme-driven exploration of a domain defined by an n-gram model. Connection Sci. 28(2), 111–130 (2016)
Oliveira, H.G., Cardoso, A.: Poetry generation with PoeTryMe. In: Besold, T.R., Schorlemmer, M., Smaill, A. (eds.) Computational Creativity Research: Towards Creative Machines. ATM, vol. 7, pp. 243–266. Atlantis Press, Paris (2015). doi:10.2991/978-94-6239-085-0_12
Toivanen, J., Toivonen, H., Valitutti, A., Gross, O., et al.: Corpus-based generation of content and form in poetry. In: Proceedings of the Third International Conference on Computational Creativity, Dublin, Ireland, pp. 175–179 (2012)
Toivanen, J.M., Järvisalo, M., Toivonen, H., et al.: Harnessing constraint programming for poetry composition. In: Proceedings of the Fourth International Conference on Computational Creativity, Sydney, Australia, pp. 160–167 (2013)
Gervás, P.: WASP: evaluation of different strategies for the automatic generation of Spanish verse. In: Proceedings of the AISB-2000 Symposium on Creative & Cultural Aspects of AI, Birmingham, United Kingdom, pp. 93–100 (2000)
Gervás, P.: Engineering linguistic creativity: Bird flight and jet planes. In: Proceedings of the NAACL HLT 2010 Second Workshop on Computational Approaches to Linguistic Creativity, Association for Computational Linguistics, pp. 23–30 (2010)
Agirrezabal, M., Arrieta, B., Astigarraga, A., Hulden, M.: Pos-tag based poetry generation with wordnet. In: ENLG 2013 - Proceedings of the 14th European Workshop on Natural Language Generation, 8–9 August, 2013, Sofia, Bulgaria, pp. 162–166 (2013)
Astigarraga, A., Jauregi, E., Lazkano, E., Agirrezabal, M.: Textual coherence in a verse-maker robot. In: Hippe, Z.S., Kulikowski, J.L., Mroczek, T., Wtorek, J. (eds.) Human-Computer Systems Interaction: Backgrounds and Applications 3. AISC, vol. 300, pp. 275–287. Springer, Cham (2014). doi:10.1007/978-3-319-08491-6_23
Astigarraga, A., Agirrezabal, M., Lazkano, E., Jauregi, E., Sierra, B.: Bertsobot: the first minstrel robot. In: 2013 The 6th International Conference on Human System Interaction (HSI), pp. 129–136. IEEE (2013)
Manurung, H.: An evolutionary algorithm approach to poetry generation. PhD thesis, University of Edinburgh. College of Science and Engineering. School of Informatics (2004)
Zhang, X., Lapata, M.: Chinese poetry generation with recurrent neural networks. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP, 25–29, 2014, Doha, Qatar, A Meeting of SIGDAT, a Special Interest Group of the ACL, pp. 670–680, October 2014
Yan, R.: 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 (IJCAI 2016), New York, United States, pp. 2238–2244 (2016)
Jurafsky, D., James, H.: Speech and language processing an introduction to natural language processing, computational linguistics, and speech (2000)
Manning, C.D., Schütze, H., et al.: Foundations of statistical natural language processing. MIT Press (1999)
Langkilde, I., Knight, K.: Generation that exploits corpus-based statistical knowledge. In: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, vol. 1. Association for Computational Linguistics, pp. 704–710 (1998)
Barbieri, G., Pachet, F., Roy, P., Esposti, M.D.: Markov constraints for generating lyrics with style. In: Proceedings of the 20th European Conference on Artificial Intelligence, pp. 115–120. IOS Press (2012)
Das, A., Gambäck, B.: Poetic machine: Computational creativity for automatic poetry generation in bengali. In: 5th International Conference on Computational Creativity, ICCC, pp. 230–238 (2014)
Pang, B., Lee, L., et al.: Opinion mining and sentiment analysis. Found. Trends® Inf. Retrieval 2(1–2), 1–135 (2008)
Wilson, T., Wiebe, J., Hoffmann, P.: Recognizing contextual polarity in phrase-level sentiment analysis. In: Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing, HLT 2005, Stroudsburg, PA, USA, pp. 347–354. Association for Computational Linguistics (2005)
Ravi, K., Ravi, V.: A survey on opinion mining and sentiment analysis: tasks, approaches and applications. Knowl.-Based Syst. 89, 14–46 (2015)
Colton, S., Goodwin, J., Veale, T.: Full face poetry generation. In: Proceedings of the Third International Conference on Computational Creativity, pp. 95–102 (2012)
Veale, T.: Less rhyme, more reason: Knowledge-based poetry generation with feeling, insight and wit. In: Proceedings of the International Conference on Computational Creativity, pp. 152–159 (2013)
Misztal, J., Indurkhya, B.: Poetry generation system with an emotional personality. In: Proceedings of the 5th International Conference on Computational Creativity, pp. 72–81 (2014)
Kirke, A., Miranda, E.: Emotional and multi-agent systems in computer-aided writing and poetry. In: Proceedings of the Artificial Intelligence and Poetry Symposium, pp. 17–22 (2013)
Amuriza, X.: Hiztegi Errimatua. Lanku (1981)
Jauregi, O.: Euskal testuetako silaba egituren maiztasuna diakronikoki. Anuario del Seminario de Filología Vasca “Julio de Urquijo” 37(1), 393–410 (2013)
Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. J. Am. Soc. Inf. Sci. 41(6), 391–407 (1990)
Zelaia, A., Arregi, O., Sierra, B.: Combining singular value decomposition and a multi-classifier: a new approach to support coreference resolution. Eng. Appl. AI 46, 279–286 (2015)
San Vicente, I., Saralegi, X., Agerri, R., Sebastián, D.S.: EliXa: a modular and flexible ABSA platform. In: Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pp. 748–752 (2015)
Acknowledgments
This paper has been supported by the Spanish Ministerio de Eco-nomía y Competitividad, contract TIN2015-64395-R (MINECO/FEDER, UE), as well as by the Basque Government, contract IT900-16.
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Astigarraga, A., Martínez-Otzeta, J.M., Rodriguez, I., Sierra, B., Lazkano, E. (2017). Emotional Poetry Generation. In: Karpov, A., Potapova, R., Mporas, I. (eds) Speech and Computer. SPECOM 2017. Lecture Notes in Computer Science(), vol 10458. Springer, Cham. https://doi.org/10.1007/978-3-319-66429-3_32
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DOI: https://doi.org/10.1007/978-3-319-66429-3_32
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