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A Natural Language Processing Approach to Represent Maps from Their Description in Natural Language

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1268))

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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Notes

  1. 1.

    https://www.nltk.org.

  2. 2.

    https://stanfordnlp.github.io/CoreNLP/.

  3. 3.

    https://www.meaningcloud.com/.

  4. 4.

    https://azgaar.github.io/Fantasy-Map-Generator/.

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Correspondence to David Griol .

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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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