Abstract
With the re-emergence of role playing games, interactive adventures, fantasy novels and tabletop games, the storytelling industry has a renewed interest to create engaging stories that require an interactive world-building process, in which the scenario where the story occurs is constructed, establishing the different regions, cultures and people that inhabit that land. This process usually relies on the creation of a map to locate themselves while the story develops. The main objective of this paper is to describe an approach to interpret a textual description of a map written in natural language and extract the main features and elements characterizing that map in order to produce a visual representation of the information provided by a user.
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References
Das, S., Dutta, A., Medina, G., Minjares-Kyle, L., Elgart, Z.: Extracting patterns from Twitter to promote biking. IATSS Res. 43(1), 51–59 (2019)
Hergenrader, T.: Dense worlds, deep characters: role-playing games, world building, and creative writing. In: Proceedings for the Games, Learning and Society 10.0 Conference, Pittsburgh, USA, pp. 118–124 (2004)
Hergenrader, T.: Collaborative Worldbuilding for Writers and Gamers. Bloomsbury Academic, London (2019)
Ji, G., Bilmes, J.: Dialog act tagging using graphical models. In: Proceedings of ICASSP 2005, Philadelphia, USA, pp. 33–36 (2005)
Jokela, M.: Constructing Music Culture - a study in creativity through worldbuilding. Ph.D. thesis, Gothenburg University (2013)
McTear, M.F., Callejas, Z., Griol, D.: The Conversational Interface: Talking to Smart Devices. Springer, Cham (2016)
Pandita, R., Xiao, X., Zhong, H., Xie, T., Oney, S., Paradkar, A.: Inferring method specifications from natural language API descriptions. In: Proceedings of ICSE 2012, Zurich, Switzerland, pp. 815–825 (2012)
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Muller, A., Nothman, J., Louppe, G., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, E.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825–2830 (2011)
von Stackelberg, P., McDowell, A.: What in the world? Storyworlds, science fiction, and futures studies. J. Futur. Stud. 20(2), 25–46 (2015)
Wang, X., McCallum, A., Wei, X.: Topical N-grams: phrase and topic discovery, with an application to information retrieval. In: Proceedings of ICDM 2007, Omaha, USA, pp. 697–702 (2007)
Zhou, D., He, Y.: Discriminative training of the hidden vector state model for semantic parsing. IEEE Trans. Knowl. Data Eng. 21(1), 66–77 (2009)
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Barbero, S., Griol, D., Callejas, Z. (2021). A Natural Language Processing Approach to Represent Maps from Their Description in Natural Language. In: Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H., Corchado, E. (eds) 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020). SOCO 2020. Advances in Intelligent Systems and Computing, vol 1268. Springer, Cham. https://doi.org/10.1007/978-3-030-57802-2_6
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