LexTrim: A lexical cohesion based approach to parse-and-trim style headline generation

Abstract

In this paper we compare two parse-and-trim style headline generation systems. The Topiary system uses a statistical learning approach to finding topic labels for headlines, while our approach, the LexTrim system, identifies key summary words by analysing the lexical cohesion structure of a text. The performance of these systems is evaluated using the ROUGE evaluation suite on the DUC 2004 news stories collection. © Springer-Verlag Berlin Heidelberg 2005.