论文信息 - LexTrim: A Lexical Cohesion Based Approach to Parse-and-Trim Style Headline Generation

LexTrim: A Lexical Cohesion Based Approach to Parse-and-Trim Style Headline Generation

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.

[1] Richard M. Schwartz,et al. Hedge Trimmer: A Parse-and-Trim Approach to Headline Generation , 2003, HLT-NAACL 2003.

[2] Eduard H. Hovy,et al. Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics , 2003, NAACL.

[3] Nicola Stokes,et al. Applications of Lexical Cohesion Analysis in the Topic Detection and Tracking Domain , 2004 .

[4] Richard M. Schwartz,et al. BBN/UMD at DUC-2004: Topiary , 2004 .