@conference {13785,
	title = {Hedge Trimmer: a parse-and-trim approach to headline generation},
	booktitle = {Proceedings of the HLT-NAACL 03 on Text summarization workshop - Volume 5},
	series = {HLT-NAACL-DUC {\textquoteright}03},
	year = {2003},
	month = {2003///},
	pages = {1 - 8},
	publisher = {Association for Computational Linguistics},
	organization = {Association for Computational Linguistics},
	address = {Stroudsburg, PA, USA},
	abstract = {This paper presents Hedge Trimmer, a HEaDline GEneration system that creates a headline for a newspaper story using linguistically-motivated heuristics to guide the choice of a potential headline. We present feasibility tests used to establish the validity of an approach that constructs a headline by selecting words in order from a story. In addition, we describe experimental results that demonstrate the effectiveness of our linguistically-motivated approach over a HMM-based model, using both human evaluation and automatic metrics for comparing the two approaches.},
	doi = {10.3115/1119467.1119468},
	url = {http://dx.doi.org/10.3115/1119467.1119468},
	author = {Dorr, Bonnie J and Zajic, David and Schwartz,Richard}
}
