3 citations · 6 across the 2 of their papers we have counts for
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cs.AI2017★ 3 cited
On modeling vagueness and uncertainty in data-to-text systems through fuzzy sets
A. Ramos-Soto, M. Pereira-Fariña
Vagueness and uncertainty management is counted among one of the challenges that remain unresolved in systems that generate texts from non-linguistic data, known as data-to-text sy…
cs.AI2017★ 3 cited
An Empirical Approach for Modeling Fuzzy Geographical Descriptors
Alejandro Ramos-Soto, Jose M. Alonso, Ehud Reiter +2
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 grap…
cs.AI2016
Fuzzy Sets Across the Natural Language Generation Pipeline
A. Ramos-Soto, A. Bugarín, S. Barro
We explore the implications of using fuzzy techniques (mainly those commonly used in the linguistic description/summarization of data discipline) from a natural language generation…