Construction of an Intelligent System for information Retrieval in an Environment of Information Network

信息网络环境下智能信息检索系统的构建

基本信息

批准号：
09558041
负责人：
FUJISAKI Hiroya
金额：
$ 5.76万
依托单位：
Science University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 1999
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09558041/
关键词：
information network intelligent system for information retrieval key concept spoken dialogue unknown word polysemy synonymy dialogue modeling エージェント未知語処理意図推察インターネットキ-概念検索

项目摘要

The project aimed at realizing an intelligent system for information retrieval over the Internet, The main results obtained are as follows.(1)Basic principlesUse of 'key concepts', estimation of relevance of retrieved results, and spoken dialogue as the user interface, were adopted as basic principles.(2)Processing of unknown wordsIn order to conduct search based on key concepts, the system has to infer the concepts of key words that are not registered in the system's lexicon. On the basis of an extensive collection and classification of such 'unknown words', methods were developed for processing unknown words arising from variations of transcription as well as unknown compound words consisting of known morphemes.(3)Processing of polysemy and synonymyIn order to realize concept-based search, both polysemy and synonymy of keywords have to be coped with. As for polysemy, a method for disambiguation was developed on the basis of collocation information. As for synonymy, a method was developed to expand a keyword on the basis of its concept.(4)Relevance estimation of retrieved resultsA method was developed for estimating the degree of relevance of a document to a query on the basis of number and location of occurrence of keywords within a document. The estimation was optimized to maximize the correlation between the estimated relevance score and the actual score based on human judgment.(5)Dialogue management based on user and system modelingA method for dialogue management was developed on the basis of analysis of simulated dialogues between a user and the system. It adopts separate modeling of the user and the system, represented by two finite-state automata exchanging information mainly through their utterances.(6)Construction of a prototype systemA prototype system was constructed combining the above-mentioned results, and its validity was tested and confirmed experimentally.

该项目旨在实现一个智能的互联网信息检索系统，取得的主要成果如下：(1)基本原理利用“关键概念”、检索结果相关性估计、口语对话作为用户界面， (2)未知词的处理为了进行基于关键概念的搜索，系统必须推断系统词典中未注册的关键词的概念。在对此类“未知词”进行广泛收集和分类的基础上，开发了处理因转录变异而产生的未知词以及由已知语素组成的未知复合词的方法。(3)多义词和同义词的处理，以实现多义词和同义词的处理。基于概念的搜索，必须处理关键字的多义性和同义性。对于一词多义，基于搭配信息开发了一种消歧方法。对于同义词，提出了一种在其概念的基础上扩展关键字的方法。(4)检索结果的相关性估计提出了一种根据检索结果的数量和位置来估计文档与查询的相关程度的方法。文档中关键字的出现。对估计进行优化，以最大化估计的相关性得分与基于人为判断的实际得分之间的相关性。(5)基于用户和系统建模的对话管理在分析用户之间的模拟对话的基础上，开发了一种对话管理方法。和系统。它采用用户和系统分开建模，以两个有限状态自动机为代表，主要通过言语交换信息。 (6)原型系统的构建结合上述结果构建了原型系统，并对其有效性进行了测试和验证。经实验证实。