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Comparative Document Summarization via Discriminative Sentence Selection

delete2012-10-29
delete19
PRE
AI
D
Dingding Wang *
S
Shenghuo Zhu
T
Tao Li
Y
Yihong Gong
DOI:10.1145/2362383.2362386delete
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Abstract

Abstract

En 中文
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.
Keywords:
Comparative document summarization
discriminative sentence selection
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Journal

ACM Transactions on Knowledge Discovery from Data cover
ACM Transactions on Knowledge Discovery from Data
IF:
4.8
Papers:
1.3K
Citations:
4.4K

Organization

State University System of Florida cover
State University System of Florida
Scholars:
12.7W
Papers: 10.9W
Citations: 130
F
Florida International University
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Papers: 5.9K
Citations: 1.1W