Hedge Trimmer 论文

2003引用 232
Topic ModelingNatural Language Processing TechniquesVideo Analysis and Summarization

详细信息

发表日期
2003-01-01
发表年份
2003

关键词

Topic ModelingNatural Language Processing TechniquesVideo Analysis and Summarization

摘要

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.