Variations of the Similarity Function of TextRank for Automated   Summarization
  This article presents new alternatives to the similarity function for the TextRank algorithm for automatic summarization of texts. We describe the generalities of the algorithm and the different functions we propose. Some of these variants achieve a significative improvement using the same metrics and dataset as the original publication. 
Federico Barrios, Federico L\'opez, Luis Argerich, Rosa Wachenchauzer
cs.CL cs.IR