Thiago Assunção

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One of the growing needs related to systems of Natural Language Processing (NLP) is that such systems must be able to perform enriched textual inferences. We argue that one reason for the current limitation of the inferences generated by these systems is that—for the most part—they are based on the characteristics of the things represented by names, and(More)
In this paper we describe the method we have created for the purpose of identifying misbehavior of users who intends to generate false trends in digital maps. Basically, the idea is to identify patterns of communities of users who strongly contribute with reports that lead a particular geographic area to be considered a hot spot. The association between hot(More)
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