An Empirical Approach for Modeling Fuzzy Geographical Descriptors

Alejandro Ramos Soto; Jose Alonso; Ehud Baruch Reiter; Kees van Deemter; Albert Gatt

doi:10.1109/FUZZ-IEEE.2017.8015527

An Empirical Approach for Modeling Fuzzy Geographical Descriptors

Alejandro Ramos Soto, Jose Alonso, Ehud Baruch Reiter, Kees van Deemter, Albert Gatt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

We present a novel heuristic approach that defines fuzzy geographical descriptors using data gathered from a survey with human subjects. The participants were asked to provide graphical interpretations of the descriptors ‘north’ and ‘south’ for the Galician region (Spain). Based on these interpretations, our approach builds fuzzy descriptors that are able to compute membership degrees for geographical locations. We evaluated our approach in terms of efficiency and precision. The fuzzy descriptors are meant to be used as the cornerstones of a geographical referring expression generation algorithm that is able to linguistically characterize
geographical locations and regions. This work is also part of a general research effort that intends to establish a methodology which reunites the empirical studies traditionally practiced in data-to-text and the use of fuzzy sets to model imprecision and vagueness in words and expressions for text generation purposes

Original language	English
Title of host publication	2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Publisher	IEEE Explore
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-5090-6034-4
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2017.8015527
Publication status	Published - 2017
Event	IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017 - Naples, Italy Duration: 9 Jul 2017 → 12 Jul 2017

Conference

Conference	IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017
Abbreviated title	(FUZZ-IEEE)
Country	Italy
City	Naples
Period	9/07/17 → 12/07/17

Access to Document

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Cite this

Ramos Soto, A., Alonso, J., Reiter, E. B., van Deemter, K., & Gatt, A. (2017). An Empirical Approach for Modeling Fuzzy Geographical Descriptors. In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-6). IEEE Explore. https://doi.org/10.1109/FUZZ-IEEE.2017.8015527

@inproceedings{199dafb0ad204e3994f156b358ac4666,

title = "An Empirical Approach for Modeling Fuzzy Geographical Descriptors",

abstract = "We present a novel heuristic approach that defines fuzzy geographical descriptors using data gathered from a survey with human subjects. The participants were asked to provide graphical interpretations of the descriptors {\textquoteleft}north{\textquoteright} and {\textquoteleft}south{\textquoteright} for the Galician region (Spain). Based on these interpretations, our approach builds fuzzy descriptors that are able to compute membership degrees for geographical locations. We evaluated our approach in terms of efficiency and precision. The fuzzy descriptors are meant to be used as the cornerstones of a geographical referring expression generation algorithm that is able to linguistically characterizegeographical locations and regions. This work is also part of a general research effort that intends to establish a methodology which reunites the empirical studies traditionally practiced in data-to-text and the use of fuzzy sets to model imprecision and vagueness in words and expressions for text generation purposes",

author = "{Ramos Soto}, Alejandro and Jose Alonso and Reiter, {Ehud Baruch} and {van Deemter}, Kees and Albert Gatt",

note = "This work has been funded by TIN2014-56633-C3-1-R and TIN2014-56633-C3-3-R projects from the Spanish “Ministerio de Economıa y Competitividad” and by the “Consellerıa de Cultura, Educacion e Ordenacion Universitaria” (accreditation 2016-2019, ED431G/08) and the European Regional Development Fund (ERDF). The authors would also like to thank Jose M. Ramos Gonzalez for setting up the survey at the I.E.S. A Xunqueira I, as well as all anonymous subjects who contributed to this study ; IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017, (FUZZ-IEEE) ; Conference date: 09-07-2017 Through 12-07-2017",

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AU - Gatt, Albert

N1 - This work has been funded by TIN2014-56633-C3-1-R and TIN2014-56633-C3-3-R projects from the Spanish “Ministerio de Economıa y Competitividad” and by the “Consellerıa de Cultura, Educacion e Ordenacion Universitaria” (accreditation 2016-2019, ED431G/08) and the European Regional Development Fund (ERDF). The authors would also like to thank Jose M. Ramos Gonzalez for setting up the survey at the I.E.S. A Xunqueira I, as well as all anonymous subjects who contributed to this study

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N2 - We present a novel heuristic approach that defines fuzzy geographical descriptors using data gathered from a survey with human subjects. The participants were asked to provide graphical interpretations of the descriptors ‘north’ and ‘south’ for the Galician region (Spain). Based on these interpretations, our approach builds fuzzy descriptors that are able to compute membership degrees for geographical locations. We evaluated our approach in terms of efficiency and precision. The fuzzy descriptors are meant to be used as the cornerstones of a geographical referring expression generation algorithm that is able to linguistically characterizegeographical locations and regions. This work is also part of a general research effort that intends to establish a methodology which reunites the empirical studies traditionally practiced in data-to-text and the use of fuzzy sets to model imprecision and vagueness in words and expressions for text generation purposes

AB - We present a novel heuristic approach that defines fuzzy geographical descriptors using data gathered from a survey with human subjects. The participants were asked to provide graphical interpretations of the descriptors ‘north’ and ‘south’ for the Galician region (Spain). Based on these interpretations, our approach builds fuzzy descriptors that are able to compute membership degrees for geographical locations. We evaluated our approach in terms of efficiency and precision. The fuzzy descriptors are meant to be used as the cornerstones of a geographical referring expression generation algorithm that is able to linguistically characterizegeographical locations and regions. This work is also part of a general research effort that intends to establish a methodology which reunites the empirical studies traditionally practiced in data-to-text and the use of fuzzy sets to model imprecision and vagueness in words and expressions for text generation purposes

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