Estableciendo una línea base para un generador de resúmenes extractivo basado en conceptos en el ámbito biomédico

Resumo

The methods for automatic summarization generation based in extractive techniques have widely shown its utility for his adaptability and efficiency in the manner of response time at any kind of application domain. In Biomedical domain are numerous the research results about the overload information and the need of application of efficient recovery and summarization methods for the proper use of evidence based medicine. In this context we are going to present a proposal of methodology for automatic summarization based on structured knowledge and graph's use. From a representation of the source document in form of a graph, applying similarity methods between phrases and their containing biomedical concepts, we obtain the most salient phrases to fill in the final summary.