2013
DOI: 10.1016/j.asoc.2012.09.007
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Automatic linguistic reporting in driving simulation environments

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Cited by 43 publications
(25 citation statements)
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“…Our approach based on CTP, for developing computational systems able to generate linguistic descriptions of data, is called granular linguistic model of phenomena (GLMP) [19]. It consists of a network of perception mappings (PMs).…”
Section: Granular Linguistic Model Of Phenomenamentioning
confidence: 99%
See 1 more Smart Citation
“…Our approach based on CTP, for developing computational systems able to generate linguistic descriptions of data, is called granular linguistic model of phenomena (GLMP) [19]. It consists of a network of perception mappings (PMs).…”
Section: Granular Linguistic Model Of Phenomenamentioning
confidence: 99%
“…The effectiveness of CTP relies on human-centric interpretability of the designed models. There are CTP based systems that offer automatic linguistic reports of traffic evolution in roads [18] or in driving simulation environments [19]. The data generated by these systems can be graphics, tables, simple linguistic variables or linguistic descriptions of complex phenomena.…”
Section: Introductionmentioning
confidence: 99%
“…For example: describing big data (Conde-Clemente et al, 2017b); advising how to save energy at home (CondeClemente et al, 2016); describing physical activity (Sanchez-Valdes et al, 2016); describing drivers' behavior in driving simulations (Eciolaza et al, 2013); or describing double stars in astronomy (Arguelles and Trivino, 2013). Figure 1 depicts the LDCP architecture for Natural Language Generation in Data-to-text applications (NLG/D2T).…”
Section: Introductionmentioning
confidence: 99%
“…For example: describing big data (Conde-Clemente et al, 2017b); advising how to save energy at home (CondeClemente et al, 2016); describing physical activity (Sanchez-Valdes et al, 2016); describing drivers' behavior in driving simulations (Eciolaza et al, 2013); or describing double stars in astronomy (Arguelles and . Figure 1 depicts the LDCP architecture for Natural Language Generation in Data-to-text applications (NLG/D2T).…”
Section: Introductionmentioning
confidence: 99%