Summarizing Newspaper Articles Using Extracted Informative and Functional Words
Summarizing Newspaper Articles Using Extracted Informative and Functional Words
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使用提取的信息和功能词总结报纸文章
DOI：
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
S. Shirai
中科院分区：
文献类型：
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作者：
Mamiko Hatayama;Y. Matsuo;S. Shirai
我们提出了一种新的方法，总结报纸文章，提取使用的情况下，框架字典，本文从原文中提取重要的词和短语，并通过重构这些词和短语生成摘要。生成的摘要中的句子数量可以由用户控制，从一个到几个句子。我们还开发了原型摘要系统ALTLINE，并通过将生成的摘要与人类的摘要进行比较来评估系统。该评估结果表明，ALTLINE在所有人类受试者中排名接近中间，证明获得的系统摘要与人类摘要相当。
We propose a new method of summarizing newspaper articles that extracts using a case-frame dictionary,important words and phrases from original articles and generates a summary by reconstructing those extracted words and phrases.The number of sentences in the generated summary can be controlled by users from one to a few sentences.We have also developed the prototype summarization system ALTLINE and evaluate the system by comparing generated summaries to human-produced summaries.This evaluation result shows that the ALTLINE was ranked near middle among all the human subjects,proving that the system summaries obtained comparable to human summaries.