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Web Intelligence Functions based on Text Processing

基于文本处理的Web Intelligence功能

基本信息

批准号：
16200007
负责人：
ISHIZUKA Mitsuru
金额：
$ 31.62万
依托单位：
The University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (A)
财政年份：
2004
资助国家：
日本
起止时间：
2004 至 2006
项目状态：
已结题

项目摘要

The World Wide Web (or just Web) has grown to a new global infrastructure for information flow and sharing. In order to enhance Web functions toward creative personals, organization and societies, we have conducted our research on Web intelligence functions especially from the viewpoint of text processing. Below are the main achievements.1) A new ordering method of extracted important sentences in multi-document summarization: This new method considers not only chronological ordering of the sentences, but also precedence and succession relations in the original texts and topical closeness. This approach possesses high novelty in international level.2) Relation mining between entities from the Web: Following a human (especially, researcher) relation mining system, we have developed a method and a system for mining relations between firms from the Web. Also, we have undertaken a research and development on a generic framework that mines relations between various entities from the Web.3) … More Textual affect sensing: As one type of text meaning understanding, we have developed two methods that extract affect or emotion from textual expressions. One method has incorporated an advanced function of employing a corpus of commonsense. A classification system of Web online news articles based on their emotion affinity has also been developed.4) Method for computing semantic similarity between words using a Web search engine: First, we developed a method for computing similarity between words based on the hit counts of the AND search of a Web search engine. Then, in order to improve the performance, we devised an effective method that also employs snippet information of the search engine's output and takes local patterns with the target two words into account.5) A Common Concept Description Language for natural language texts: As a basis toward next-generation Web, we have carried out our research to set up a common concept description language called CDL.nl. Unlike the Semantic Web which aims to describe meta-data, CDL.nl allows to describe the concept meaning implied in natural language texts in a machine understandable form. This work has been proceeded in parallel with our international standardization activity of CDL.nl. Less

万维网（或仅仅是Web）已经发展成为信息流动和共享的新的全球基础设施。为了增强Web对创造性个人、组织和社会的功能，我们从文本处理的角度对Web智能功能进行了研究。1）提出了一种新的多文档文摘重要句子排序方法：该方法不仅考虑了句子的时间顺序，还考虑了句子在原文中的优先顺序和继承关系以及主题的紧密程度。这种方法具有很高的新奇，在国际水平。2）从Web实体之间的关系挖掘：以下的人（特别是研究人员）的关系挖掘系统，我们已经开发了一种方法和系统从Web上挖掘企业之间的关系。此外，我们还对一个通用框架进行了研究和开发，该框架可以从Web中挖掘各种实体之间的关系。 ...更多信息文本情感感知：作为文本意义理解的一种，我们已经发展了两种从文本表达中提取情感的方法。其中一种方法结合了采用常识语料库的高级功能。基于情感亲和力的Web在线新闻文章分类系统也已经开发出来。4）使用Web搜索引擎计算词间语义相似度的方法：首先，我们开发了一种基于Web搜索引擎的AND搜索的命中计数来计算词间相似度的方法。然后，为了提高性能，我们设计了一种有效的方法，也利用片段信息的搜索引擎的输出，并考虑到与目标两个词的本地模式。5）一个共同的概念描述语言的自然语言文本：作为下一代Web的基础上，我们已经开展了我们的研究，建立一个共同的概念描述语言CDL.nl。与旨在描述元数据的语义网不同，CDL.nl允许以机器可理解的形式描述自然语言文本中隐含的概念含义。这项工作与我们的CDL.nl国际标准化活动同时进行。少