International Journal of Computational Intelligence Systems

Volume 12, Issue 2, 2019, Pages 970 - 983

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

Authors
Alejandro Ramos1, Jose M. Alonso1, *, Ehud Reiter2, Kees van Deemter2, 3, Albert Gatt4
1 Centro Singular de Investigación en Tecnoloxías Intelixentes, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
2 Department of Computing Science, University of Aberdeen, Aberdeen, United Kingdom
3 Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands
4 Institute of Linguistics and Language Technology, University of Malta, Malta
*Corresponding author. Email: josemaria.alonso.moral@usc.es
Corresponding Author
Jose M. Alonso
Received 6 July 2019, Accepted 23 August 2019, Available Online 12 September 2019.
DOI
https://doi.org/10.2991/ijcis.d.190826.002How to use a DOI?
Keywords
Natural language generation, Linguistic descriptions of data, Data-to-text, Geo-referenced data, Language grounding, Fuzzy sets
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.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
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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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 2
Pages
970 - 983
Publication Date
2019/09
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.d.190826.002How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Alejandro Ramos
AU  - Jose M. Alonso
AU  - Ehud Reiter
AU  - Kees van Deemter
AU  - Albert Gatt
PY  - 2019
DA  - 2019/09
TI  - Fuzzy-Based Language Grounding of Geographical References: From Writers to Readers
JO  - International Journal of Computational Intelligence Systems
SP  - 970
EP  - 983
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.190826.002
DO  - https://doi.org/10.2991/ijcis.d.190826.002
ID  - Ramos2019
ER  -