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This paper describes preliminary analysis on the influence of the semantic roles in summary generation. The proposed method involves three steps: first, the named entities in the original text are identified using a named entity recognizer; secondly, the sentences are parsed and semantic roles are extracted; thirdly, selection of the sentences containing specific semantic roles for the most relevant entities in text. Although the method is language independent, in order to check its viability,dblp:conf/enlg/Trandabat11 fatcat:dj2mex5zizclhkehs4bszn66ja