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Fuzzy-Based Language Grounding of Geographical References: From Writers to Readers

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Abstract

We describe an applied methodology to build fuzzy models of geographical expressions, which are meant to be used for natural language generation purposes. Our approach encompasses a language grounding task within the development of an actual data-to-text system for the generation of textual descriptions of live weather data. For this, we gathered data from meteorologists through a survey and built consistent fuzzy models that aggregate the interpersonal variations found among the experts. A subset of the models was utilized in an illustrative use case, where we generated linguistic descriptions of weather maps for specific geographical expressions. These were used in a task-based evaluation to determine how well potential readers are able to identify the geographical expressions grounded on the models.

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Authors and Affiliations

  1. Centro Singular de Investigación en Tecnoloxías Intelixentes, Universidade de Santiago de Compostela, Santiago de Compostela, Spain

    Alejandro Ramos & Jose M. Alonso

  2. Department of Computing Science, University of Aberdeen, Aberdeen, UK

    Ehud Reiter & Kees van Deemter

  3. Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands

    Kees van Deemter

  4. Institute of Linguistics and Language Technology, University of Malta, Utrecht, Malta

    Albert Gatt

Authors
  1. Alejandro Ramos

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  2. Jose M. Alonso

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  3. Ehud Reiter

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  4. Kees van Deemter

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  5. Albert Gatt

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Corresponding author

Correspondence toJose M. Alonso.

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This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Ramos, A., Alonso, J.M., Reiter, E.et al. Fuzzy-Based Language Grounding of Geographical References: From Writers to Readers.Int J Comput Intell Syst12, 970–983 (2019). https://doi.org/10.2991/ijcis.d.190826.002

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