Fuzzy-based language grounding of geographical references: From writers to readers

Alejandro Ramos, Jose M. Alonso*, Ehud Reiter, Kees van Deemter, Albert Gatt

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    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.

    Original languageEnglish
    Pages (from-to)970-983
    Number of pages14
    JournalInternational Journal of Computational Intelligence Systems
    Volume12
    Issue number2
    DOIs
    Publication statusPublished - 1 Jan 2019

    Funding

    This research was also funded by the Spanish Ministry of Science, Innovation and Universities (grants RTI2018-099646-B-I00, TIN2017-84796-C2-1-R and TIN2017-90773-REDT) and the Galician Ministry of Education, University and Professional Training (grants ED431F 2018/02, ED431C 2018/29 and “accreditation 2016-2019, ED431G/08”). All grants were co-funded by the European Regional Development Fund (ERDF/FEDER program).

    Keywords

    • Data-to-text
    • Fuzzy sets
    • Geo-referenced data
    • Language grounding
    • Linguistic descriptions of data
    • Natural language generation

    Fingerprint

    Dive into the research topics of 'Fuzzy-based language grounding of geographical references: From writers to readers'. Together they form a unique fingerprint.

    Cite this