Paper: Automated Text Summarization

ACL ID I05-2047
Title Automated Text Summarization
Venue International Joint Conference on Natural Language Processing
Session poster-demo-tutorial
Year 2005
  • Chin-Yew Lin (University of Southern California, Marina del Rey CA)

After lying dormant for over two decades, automated text summarization has experienced a tremendous resurgence of interest in the past few years. Research is being conducted in China, Europe, Japan, and North America, and industry has brought to market more than 30 summarization systems; most recently, a series of large-scale text summarization evaluations, Document Understanding Conference (DUC) and Text Summarization Challenge (TSC) have been held yearly in the United States and Japan. In this tutorial, we will review the state of the art in automatic summarization, and will discuss and critically evaluate current approaches to the problem. We will first outline the major types of summary: indicative vs. informative; abstract vs. extract; generic vs. query-oriented; background vs. just-t...