• Summary
• Related Documents
  • Active Bibliography
  • Co-citation
• Version History

Popular Tags

Add a tag:

No tags have been applied to this document.

BibTeX | Add To MetaCart

@INPROCEEDINGS{Jing99thedecomposition,
    author = {Hongyan Jing and Kathleen R. McKeown},
    title = {The Decomposition of Human-Written Summary Sentences},
    booktitle = {University of California, Beekely},
    year = {1999},
    pages = {129--136}
}

Years of Citing Articles

Bookmarks

         

OpenURL

 

Abstract:

We define the problem of decomposing human-written summary sentences and propose a novel Hidden Markov Model solution to the problem. Human summarizers often rely on cutting and pasting of the full document to generate summaries. Decomposing a human-written summary sentence requires determining: (1) whether it is constructed by cutting and pasting, (2) what components in the sentence come from the original document, and (3) where in the document the components come from. Solving the decomposition problem can potentially lead to the automatic acquisition of large corpora for summarization. It also sheds light on the generation of summary text by cutting and pasting. The evaluation shows that the proposed decomposition algorithm performs well. 1 Introduction We define and present a solution to the problem called summary sentence decomposition, whose resolution, we believe, will improve the performance of automatic text summarizers. The goal of a decomposition program is to determine th...

Citations