@article {13784, title = {Headline Generation for Written and Broadcast News}, year = {2005}, month = {2005/03//}, institution = {Instititue for Advanced Computer Studies, Univ of Maryland, College Park}, abstract = {This technical report is an overview of work done on Headline Generation for written and broadcast news. The report covers HMM Hedge, a statistical approach based on the noisy channel model, Hedge Trimmer, a parse-and-trim approach using linguistically motivated trimming rules, and Topiary, a combination of Trimmer and Unsupervised Topic Discovery. Automatic evaluation of summaries using ROUGE and BLEU is described and used to evaluate the Headline Generation systems.}, keywords = {*INFORMATION RETRIEVAL, *RADIO BROADCASTING, AUTOMATIC, AUTOMATIC SUMMARIZATION, HEDGE TRIMMER, INFORMATION SCIENCE, RADIO COMMUNICATIONS, STATISTICAL PROCESSES, TEST AND EVALUATION, WORDS(LANGUAGE)}, url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA454198}, author = {Zajic, David and Dorr, Bonnie J and Schwartz,Richard} }