We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Text documents often embed data that is structured in nature. This structured data is increasingly exposed using information extraction systems, which generate structured relation...
In this paper we propose an approach for action recognition based on a vocabulary forest of local motionappearance features. Large numbers of features with associated motion vecto...
With the increase in popularity of online review sites comes a corresponding need for tools capable of extracting the information most important to the user from the plain text da...
In this paper we present a rule-based system for automatic extraction of definitions from Portuguese texts. As input, this system takes text that is previously annotated with morph...