Tropical, de Anita Malfatti

A partir da análise de Tropical, tela pintada por Anita Malfatti em 1917, este artigo propõe que a artista procedia a uma mudança em sua linguagem pictórica, afastando-se das concepções de vanguarda que adotara até então para, aderindo ao clima de retorno à ordem internacional, aproximar-se das discussões sobre o nacionalismo na arte, presentes na cena paulistana. Assim, a imagem de mulher insegura que mudou sua perspectiva por causa da crítica de Monteiro Lobato adquire outra conotação. Os modernistas teriam preferido essa interpretação a efetuar uma análise da obra de Anita Malfatti, por meio da qual se poderia desvelar uma deserção do programa vanguardista feita de forma consciente pela artista

Extractive summarization using complex networks and syntactic dependency

The realization that statistical physics methods can be applied to analyze written texts represented as complex networks has led to several developments in natural language processing, including automatic summarization and evaluation of machine translation. Most importantly, so far only a few metrics of complex networks have been used and therefore there is ample opportunity to enhance the statistics-based methods as new measures of network topology and dynamics are created. In this paper, we employ for the first time the metrics betweenness, vulnerability and diversity to analyze written texts in Brazilian Portuguese. Using strategies based on diversity metrics, a better performance in automatic summarization is achieved in comparison to previous work employing complex networks. With an optimized method the Rouge score (an automatic evaluation method used in summarization) was 0.5089, which is the best value ever achieved for an extractive summarizer with statistical methods based on complex networks for Brazilian Portuguese. Furthermore, the diversity metric can detect keywords with high precision, which is why we believe it is suitable to produce good summaries. It is also shown that incorporating linguistic knowledge through a syntactic parser does enhance the performance of the automatic summarizers, as expected, but the increase in the Rouge score is only minor. These results reinforce the suitability of complex network methods for improving automatic summarizers in particular, and treating text in general. (C) 2011 Elsevier B.V. All rights reserved.