Hedge Trimmer: A Parse-and-Trim Approach to Headline Generation

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.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA460929

Entities

People

  • Bonnie J. Dorr
  • David Zajic
  • Richard Schwartz

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Automated Text Summarization
  • Birds
  • Cognitive Science
  • Computational Linguistics
  • Computational Science
  • Computer Science
  • Demographic Cohorts
  • Department Of State
  • Governments
  • Language
  • Linguistics
  • Machine Translation
  • Materials
  • Models
  • Probabilistic Models

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • International Journalism and Media Studies.