Abstract
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 | |
| 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 |
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An Empirical Approach for Modeling Fuzzy Geographical Descriptors. / Ramos Soto, Alejandro; Alonso, Jose; Reiter, Ehud Baruch; van Deemter, Kees; Gatt, Albert.
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE Explore, 2017. p. 1-6.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - An Empirical Approach for Modeling Fuzzy Geographical Descriptors
AU - Ramos Soto, Alejandro
AU - Alonso, Jose
AU - Reiter, Ehud Baruch
AU - van Deemter, Kees
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
PY - 2017
Y1 - 2017
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
U2 - 10.1109/FUZZ-IEEE.2017.8015527
DO - 10.1109/FUZZ-IEEE.2017.8015527
M3 - Conference contribution
SP - 1
EP - 6
BT - 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
PB - IEEE Explore
ER -