Using Topic Themes for Multi-Document Summarization

被引:23
|
作者
Harabagiu, Sanda [1 ,2 ]
Lacatusu, Finley [1 ,2 ]
机构
[1] Univ Texas Dallas, Human Language Technol Res Inst, Richardson, TX 75080 USA
[2] Univ Texas Dallas, Dept Comp Sci, Richardson, TX 75080 USA
关键词
Algorithms; Performance; Experimentation; Summarization; topic representations; topic themes;
D O I
10.1145/1777432.1777436
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem of using topic representations for multidocument summarization (MDS) has received considerable attention recently. Several topic representations have been employed for producing informative and coherent summaries. In this article, we describe five previously known topic representations and introduce two novel representations of topics based on topic themes. We present eight different methods of generating multidocument summaries and evaluate each of these methods on a large set of topics used in past DUC workshops. Our evaluation results show a significant improvement in the quality of summaries based on topic themes over MDS methods that use other alternative topic representations.
引用
收藏
页数:47
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