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Basic Studies on Automatic Text Summarization as an Aid for Human Intellectual Activities

自动文本摘要辅助人类智力活动的基础研究

基本信息

批准号：
13680444
负责人：
MASUYAMA Shigeru
金额：
$ 2.24万
依托单位：
Toyohashi University of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2001
资助国家：
日本
起止时间：
2001 至 2003
项目状态：
已结题

项目摘要

In this project, we put the focus on the following two themes :1.sentence reduction for summarization, 2. multiple document summarization, and the following results were obtained.As for the sentence reduction, we proposed a method for deleting adnominal verb phrases. This method is based on the observation that if the kinds of verbs which modify the noun modified by the verb is limited, then the adnominal verb phrase can be easily associated with by the noun and maybe deleted. Such diversity of modifying verbs is measured by entropy. We also proposed a method of deleting multiple adnominal phrases. The degree of deletability of an adnominal phrase is estimated by the importance of the noun in the phrase and mutual information.We developed a multiple document summarization system GOLD. Previous experiences show that a good automatic summarization system can be developed by combining appropreately a number of summarization techniques. Thus we developed GOLD by combining a variety of summarization techniques both conventional and newly introduced. The evalution results at TSC 2 of NTCIR 3 was satisfactory.In a multiple document summarization, the document set to be summarized usually has multiple topics. However, a user may not necessarily to be interested in all topics. Thus, a user customized summary is needed. To cope with this need, we developed a multiple document summarization system with user interaction. The system suggests keywords extracted from the document set to be summarized and the user choose appropreate keywords among them. The evalution results at TSC 3 of NTCIR 4 was remarkable, in particular, in content evaluation.As a related results, we proposed a method for acquiring knowledge from a single corpus on disabbreviations for Japanese nouns. This knowledge is useful e.g., for information retrieval, word sense disambiguation and summarization.

在这个项目中，我们把重点放在以下两个主题：1。句子缩减的摘要，2。在句子缩减方面，我们提出了一种删除修饰动词短语的方法。这种方法是基于这样一种观察：如果修饰被动词修饰的名词的动词种类有限，那么修饰名词的动词短语很容易被名词联想起来，并且可能被删除。修饰动词的这种多样性是通过熵来衡量的。我们还提出了一种删除多个附加名词短语的方法。本文利用名词在短语中的重要性和互信息量来估计名词短语的可删度，开发了一个多文档自动文摘系统GOLD。以往的经验表明，适当地结合多种文摘技术，可以开发出一个良好的自动文摘系统。因此，我们开发了黄金结合各种传统的和新引进的摘要技术。在多文档文摘中，待文摘的文档集通常包含多个主题。然而，用户可能不一定对所有主题感兴趣。因此，需要用户定制的摘要。为了科普这一需求，我们开发了一个多文档摘要系统与用户交互。该系统建议从文档集中提取关键词进行摘要，用户从中选择合适的关键词。NTCIR 4的TSC 3的评价结果是显著的，特别是在内容评价。作为相关的结果，我们提出了一种方法，从一个单一的语料库中获取知识的反缩略语的日语名词。这些知识是有用的，例如，用于信息检索、词义消歧和摘要。