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

Alejandro  Ramos; Jose M. Alonso; Ehud Reiter; Kees Van Deemter; Albert Gatt

doi:10.2991/ijcis.d.190826.002

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

Alejandro Ramos
, Jose M. Alonso^* (Corresponding Author)
, Ehud Reiter
, Kees Van Deemter
, Albert Gatt

^*Corresponding author for this work

University of Santiago de Compostela
Utrecht University
University of Malta

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

15 Downloads (Pure)

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 eographical expressions grounded on the models.

Original language	English
Pages (from-to)	970 - 983
Number of pages	14
Journal	International Journal of Computational Intelligence Systems
Volume	12
Issue number	2
Early online date	12 Sept 2019
DOIs	https://doi.org/10.2991/ijcis.d.190826.002
Publication status	Published - 2019

Bibliographical note

Jose M. Alonso is Ramon y Cajal Researcher (RYC-2016-19802). This research was also funded by the Spanish Ministry of Science, Innovation and Universities (grants RTI2018-099646-BI00, TIN2017-84796-C2-1-R and TIN2017-90773-REDT) and the Galician Ministry of Education, University and Professional Training (grants ED431F2018/02, ED431C 2018/29 and “accreditation 2016-2019, ED431G/08”). All grants were co-funded by the European Regional Development Fund
(ERDF/FEDER program).

Keywords

natural language generation
linguistic descriptions of data
data-to-text
geo-referenced data
language grounding
fuzzy sets
Fuzzy sets
Geo-referenced data
Data-to-text
Linguistic descriptions of data
Natural language generation
Language grounding

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10.2991/ijcis.d.190826.002Licence: CC BY-NC

Ramos_etal_Fuzzy_Based_Language_VOR
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Final published version, 3.12 MBLicence: CC BY-NC

Cite this

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title = "Fuzzy-Based Language Grounding of Geographical References: From Writers to Readers",

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 eographical expressions grounded on the models.",

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doi = "10.2991/ijcis.d.190826.002",

language = "English",

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KW - Language grounding

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ER -

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

Abstract

Bibliographical note

Keywords

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