  In this paper, we investigate the integration of sentence position and
semantic role of words in a PageRank system to build a key phrase ranking
method. We present the evaluation results of our approach on three scientific
articles. We show that semantic role information, when integrated with a
PageRank system, can become a new lexical feature. Our approach had an overall
improvement on all the data sets over the state-of-art baseline approaches.
