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Carrillo F.,Laboratorio Of Inteligencia Artificial Aplicada | Cecchi G.A.,IBM | Sigman M.,Torcuato Di Tella University | Slezak D.F.,Laboratorio Of Inteligencia Artificial Aplicada
Computational Intelligence and Neuroscience | Year: 2015

We investigate the dynamics of semantic organization using social media, a collective expression of human thought. We propose a novel, time-dependent semantic similarity measure (TSS), based on the social network Twitter. We show that TSS is consistent with static measures of similarity but provides high temporal resolution for the identification of real-world events and induced changes in the distributed structure of semantic relationships across the entire lexicon. Using TSS, we measured the evolution of a concept and its movement along the semantic neighborhood, driven by specific news/events. Finally, we showed that particular events may trigger a temporary reorganization of elements in the semantic network. © 2015 Facundo Carrillo et al.


Lopez-Rosenfeld M.,Laboratorio Of Inteligencia Artificial Aplicada | Lopez-Rosenfeld M.,Torcuato Di Tella University | Carrillo F.,Laboratorio Of Inteligencia Artificial Aplicada | Garbulsky G.,El Mundo de Las Ideas | And 2 more authors.
PLoS ONE | Year: 2015

Inner concepts are much richer than the words that describe them. Our general objective is to inquire what are the best procedures to communicate conceptual knowledge. We construct a simplified and controlled setup emulating important variables of pedagogy amenable to quantitative analysis. To this aim, we designed a game inspired in Chinese Whispers, to investigate which attributes of a description affect its capacity to faithfully convey an image. This is a two player game: an emitter and a receiver. The emitter was shown a simple geometric figure and was asked to describe it in words. He was informed that this description would be passed to the receiver who had to replicate the drawing from this description. We capitalized on vast data obtained from an android app to quantify the effect of different aspects of a description on communication precision. We show that descriptions more effectively communicate an image when they are coherent and when they are procedural. Instead, the creativity, the use of metaphors and the use of mathematical concepts do not affect its fidelity. © 2015 Bastin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


PubMed | Laboratorio Of Inteligencia Artificial Aplicada, IBM and Torcuato Di Tella University
Type: | Journal: Computational intelligence and neuroscience | Year: 2015

We investigate the dynamics of semantic organization using social media, a collective expression of human thought. We propose a novel, time-dependent semantic similarity measure (TSS), based on the social network Twitter. We show that TSS is consistent with static measures of similarity but provides high temporal resolution for the identification of real-world events and induced changes in the distributed structure of semantic relationships across the entire lexicon. Using TSS, we measured the evolution of a concept and its movement along the semantic neighborhood, driven by specific news/events. Finally, we showed that particular events may trigger a temporary reorganization of elements in the semantic network.

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