Hedge Trimmer: A Parse-and-Trim Approach to Headline Generation
MARYLAND UNIV COLLEGE PARK INST FOR ADVANCED COMPUTER STUDIES
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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.
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