Scientific publications contain many references to method terminologies used during scientific experiments. New terms are constantly created within the research community, especially in the biomedical domain where thousands of papers are published each week. In this study we report our attempt to automatically extract such method terminologies from scientific research papers, using rule-based a...

In this paper, we propose a Personalized Paper Recommender System, a new user-paper based approach that takes into consideration the user academic curriculum vitae. To build the user profiles, we use a Brazilian academic platform called CV-Lattes. Furthermore, we examine some issues related to user profiling, such as (i) we define and compare different strategies to build and represent the user...

Current classification technologies, for example decision trees work well for pattern recognition and process control. A popular and efficient method for induction of decision trees is ID3 algorithm proposed J.R.Quinlan [10]. The main idea of this algorithm is selecting the attribute that takes the nominal values of the average mutual information and repeating this selection procedure. ID3 algo...

Researchers summarize and represent their paper content with scientific posters, which efficiently convey their ideas. Generating a good scientific poster, however, is challenging for novel researchers, since it needs to be readable, informative, and aesthetic. This paper for the first time studies the challenging problem of learning to generate posters from scientific papers. To this end, a da...

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