News Story Gisting at University College Dublin
William P. Doran, Nicola Stokes, Eamonn Newman, John Dunnion, Joe Carthy, Fergus Toolan · 2004
In this paper we present a machine learning approach to generating very short news story summaries (i.e. no more than 75 bytes long). Our technique uses a decision tree classifier to establish which phrases in a text should be included in the resultant summary. Our ROUGE evaluation results for task 1 (English text summarisation) and task 3 (translated Arabic text summarisation) indicate that this technique is an adequate solution to this problem.