Comparative document summarization via discriminative sentence selection

  • Authors:
  • Dingding Wang;Shenghuo Zhu;Tao Li;Yihong Gong

  • Affiliations:
  • Florida International University, Miami, FL;NEC Laboratories America, Inc., Cupertino, CA;Florida International University, Miami, FL;NEC Laboratories America, Inc., Cupertino, CA

  • Venue:
  • ACM Transactions on Knowledge Discovery from Data (TKDD)
  • Year:
  • 2012

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Abstract

Given a collection of document groups, a natural question is to identify the differences among them. Although traditional document summarization techniques can summarize the content of the document groups one by one, there exists a great necessity to generate a summary of the differences among the document groups. In this article, we study a novel problem, that of summarizing the differences between document groups. A discriminative sentence selection method is proposed to extract the most discriminative sentences which represent the specific characteristics of each document group. Experiments and case studies on real-world data sets demonstrate the effectiveness of our proposed method.