Summarizing scientiflc texts: Experiments with extractive summarizers

被引：5

作者：

Balage Filho, Pedro Paulo ^{[1
]}

Salguelro Pardo, Thiago Alexandre ^{[1
]}

Gracas Volpe Nunes, Maria Das ^{[1
]}

机构：

[1] Univ Sao Paulo, Inst Ciencias Matemat & Computacao, NILC, BR-13560970 Sao Carlos, SP, Brazil

来源：

PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS | 2007年

关键词：

D O I：

10.1109/ISDA.2007.92

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present experiments on scientific text summarization. From a complete text, we produce a shorter version containing all the main parts of the research. Having in mind the sophisticated structure of such texts, we show that good results can be achieved using simple extractive summarizers with some obvious improvements that consider the specificity of the text genre. Specifically, we enhance the summarization process with the ability to detect and appropriately treat the text structure.

引用

页码：520 / 524

页数：5