SGER/Collaborative Research: Intelligent Use of Dictionaries for Document Retrieval

SGER/协作研究：智能使用字典进行文档检索

• 批准号: 0738652
• 负责人: Clement Yu
• 金额: $ 6万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-15 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0738652&HistoricalAwards=false
• 关键词: SGER; Collaborative; Research; Intelligent; Use

The goal of this collaborative exploratory research project (0738652, Clement Yu, UIC and 0738727 Weiyi Meng, SUNY Binghamton) is to investigate the potential benefit of a dictionary-based approach for document retrieval. This project aims to demonstrate within one year that within a given domain, the use of multiple dictionaries (both domain specific dictionaries and general dictionaries) will obtain high retrieval effectiveness. The demonstration will be facilitated using existing TREC query and document collections. Rules for adding semantically related terms to queries that can yield high retrieval effectiveness within the selected domain will be identified. These rules will be carefully analyzed to obtain fundamental insights for the gain of effectiveness achieved due to the use of the dictionaries. This project is also to seek evidence that certain dictionary constructs (e.g., the frequency of use of a word in a context) can lead to significant gains in effectiveness if they are added to a dictionary. The research results from this project will lay the foundation in achieving longer-term goals that include the identification of domain independent principles of using different types of dictionaries in the same system, and the development of tools to add useful dictionary constructs across dictionaries and to assist users in query expansion semi-automatically when there are multiple dictionaries. It is expected that the proposed project can have a significant impact on search engine technology, including retrieval in specialized domains such as law and medicine, question-answering, blog retrieval and analysis, and enterprise search. Research results will be incorporated into several courses the PIs teach and students will be recruited to participate in the research activities. Research results will be disseminated through published papers as well as a textbook on Web-based search technology. The project Web site (http://www.cs.binghamton.edu/~meng/DocRetSGER.html) provides access to research results.

这个合作探索性研究项目（0738652，Clement Yu，UIC和0738727 Weiyi Meng，SUNY Binghamton）的目标是调查基于词典的方法用于文档检索的潜在好处。本计划旨在于一年内证明在一个特定领域内，使用多个字典（包括特定领域字典和通用字典）将获得高检索效率。将利用现有的TREC查询和文档集合来促进演示。将确定在所选领域内向查询添加语义相关术语的规则，这些规则可以产生高检索效率。这些规则将被仔细分析，以获得由于使用词典而获得的有效性的基本见解。该项目还旨在寻找某些字典结构的证据（例如，词在上下文中的使用频率）如果被添加到词典中，则可以导致有效性的显著提高。该项目的研究成果将为实现长期目标奠定基础，这些目标包括在同一系统中使用不同类型词典的领域独立原则的识别，以及开发工具来跨词典添加有用的词典结构，并在有多个词典时半自动地帮助用户进行查询扩展。预计拟议项目将对搜索引擎技术产生重大影响，包括法律和医学等专业领域的检索、问答、博客检索和分析以及企业搜索。研究结果将纳入PI教授的几个课程中，并将招募学生参与研究活动。研究结果将通过发表的论文以及关于网上搜索技术的教科书传播。该项目的网站（http：//www.cs.binghamton.edu/docRetSGER.html）提供研究结果。