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.
REF for instance propose a headline generation system based on linguistically-motivated, hand-crafted heuristics.
Hedge Trimmer: A Parse-And-Trim Approach To Headline Generation
Workshop On Text Summarization
Computer Science