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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.

本项目旨在实现一个智能化的Internet信息检索系统，取得的主要成果如下。（1）基本原则采用“关键概念”的使用、检索结果相关性的估计以及作为用户界面的口语对话作为基本原则。（2）未知词的处理为了进行基于关键概念的搜索，系统必须推断未在系统的词典中注册的关键词的概念。在广泛收集和分类的基础上，这些“未登录词”，方法被开发用于处理所产生的变化的转录以及未知的合成词由已知的语素。（3）一词多义和同义词的处理为了实现基于概念的检索，必须同时处理关键词的一词多义和同义词。对于一词多义，提出了一种基于搭配信息的排歧方法。对于同义关系，提出了一种在概念基础上扩展关键词的方法。（4）检索结果的相关性估计提出了一种基于关键词在文档中出现的数量和位置来估计文档与查询的相关程度的方法。对估计进行了优化，以最大化估计的相关性得分与基于人类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与系统模拟对话的基础上，提出了一种对话管理方法。它采用了用户和系统的独立建模，由两个有限状态自动机表示，主要通过他们的话语交换信息。（6）原型系统的构建结合上述研究结果，构建了一个原型系统，并通过实验验证了其有效性。